I lived in the United States for over a decade.

I came here first on an F-1 visa. Later, I moved to H-1B.

Like most professionals, I assumed the only realistic path to a green card was EB-2 or EB-3. Long backlogs. Endless waiting. Uncertainty for years, sometimes decades.

At some point, I realized something wasn’t adding up.

Highly skilled professionals were building companies, leading teams, shipping products, and driving real impact. Yet the immigration system treated them as replaceable.

That’s when I stumbled upon the EB-1A pathway.

At first, it sounded like a myth. Something meant only for PhDs, researchers, or Nobel Prize winners.

But instead of dismissing it, I decided to test it.

I spent over 1,800 hours across 18 months studying regulations, reading USCIS decisions, analyzing approvals and denials, and reverse-engineering what actually works.

I built my own EB-1A case from scratch.

And it worked.

I got my EB-1A approval.

That experience completely changed my perspective.

I realized the biggest problem wasn’t eligibility. It was misinformation.

So I started building EB1A Experts.

Not as a content site. Not as a marketing company. But as an execution-first, systems-driven platform to help exceptional professionals navigate EB-1A the right way.

Today, EB1A Experts is a 250+ person company working with professionals from 1,000+ companies across tech, product, engineering, AI, data, and leadership roles.

What we’ve done so far:

→ Helped 260+ individuals secure EB-1A green cards
→ Achieved 200+ EB-1A approvals in 2025 alone
→ Built one of the largest EB-1A-focused teams globally
→ Worked with founders, ICs, managers, and executives, not just academics
→ Scaled with a strong focus on data, process, and long-term credibility

One thing I care deeply about.

EB-1A is not just for PhDs and researchers.

That belief is one of the biggest myths in immigration.

I am living proof. And so are hundreds of our clients.

EB-1A is about high achievements, not job titles. Not degrees. Not publications alone.

My work today focuses on:

• Busting EB-1A myths with real data
• Building scalable legal-tech and immigration systems
• Helping high-impact professionals take control of their future
• Sharing lessons on execution, team building, and long-term thinking

If you’re a founder, operator, or high-skilled professional navigating U.S. immigration. Or if you’ve been told EB-1A is not for you.

You might want to follow along.

We’re building clarity in a space full of noise.

Raghu Reddy

Tampa showed up.

We just wrapped our in-person EB-1A session in Tampa with a room full of founders, researchers, and high-performing professionals focused on one thing: strategy.

No surface-level advice. We broke down what actually strengthens a petition - how to position your work against USCIS criteria, how to document impact properly, and why timing is part of the equation.

If you missed Tampa, we’re heading to Atlanta next!

Today in Atlanta (3–6 PM), we’ll walk through:

• How EB-1A eligibility is evaluated
• Common weaknesses we see in filings
• How to strategically position your profile before submission
• Live Q&A with our team

It’s structured, practical, and designed for professionals who want clarity before they file.

Register here before spots fill up: https://luma.com/1z9fno4g

#EB1A #ImmigrationLaw #ExtraordinaryAbility #Entrepreneurs #TampaEvents #AtlantaEvents

undefined undefined

Setup time

Set up a free evaluation here: https://eb1aexperts.com/eb1a-green-card

At EB1A Experts, we specialize in providing comprehensive support and insights to EB1A aspirants, ensuring they navigate the complex immigration landscape with confidence. Our commitment is to empower individuals with the knowledge and tools they need to successfully pursue their EB1A aspirations. Join us on the path to success with EB1A Experts – your trusted partner in achieving immigration excellence.
Ready to turn your success into U.S. residency? Learn more at https://eb1aexperts.com/ 

Legal Disclaimer

The information provided by EB1A Experts is for educational and informational purposes only. While we strive to offer valuable insights, as we are not a law firm we do not provide legal advice or representation before U.S. immigration authorities.

CEO & Head of AI

As a Product Manager for at Salesforce, I spearheaded the development of several key features that significantly improved the platform's capabilities:

Advanced Natural Language Processing: We integrated the latest NLP techniques into the platform, resulting in a 20% increase in accuracy for text-based insights.
Predictive Modeling: We implemented a new machine learning algorithm that resulted in a 15% increase in the accuracy of predictive models, providing users with more reliable forecasts and recommendations.
Integrated AI Across Core Products: We seamlessly integrated Generative AI into several of our core products in, Service Cloud. This enabled users to leverage AI capabilities in their day-to-day operations, resulting in a 30% increase in the adoption of AI-powered features.

Partnering with the marketing team to create messaging and positioning for the updated Generative AI capabilities
Working closely with sales teams to understand customer needs and pain points and use that information to drive feature prioritization

Senior Manager, Product Management

I built a conversation builder product in less than 2 years that has 500M revenue potential. Conversation builder helps fortune 100 clients build Digital & Voice Conversational AI bots to serve their users. To create this best-in-industry product, I partnered with various stakeholders from C-Suite Executive teams, UX Research, Design, Data scientists, Engineering, Marketing & Sales teams.  The tool decreased the time to market by over tenfold and reduced the cost by over half. 

User research and Design: Collaborate with the user research and the design team to identify the correct user problems and build best user experiences by adopting the design thinking methodologies. 

Roadmap: Prioritize the user problems to define the Roadmap by evaluating the users, market, and competition. Work closely with the CTO, VP, and Senior Director of Product to define the strategy of the business line.

Data science: Define the problem statement and work closely with the Data scientists to solve the user problems with the best ML/AI, Natural Language Processing, and Unsupervised Machine learning models. Democratize these AI solutions across the company.

Engineering: Communicate the Roadmap to the engineering teams and set the Milestones. Work closely with them to make sure we deliver on the Roadmap. 

Product Marketing: Collaborative with the marketing teams for the go-to market strategy of the products.

Strategy: Work with the VP of Strategy to develop a Roadmap for the product.

Senior Product Manager - Conversational AI

Solving the job seeker pain points by improving the search capabilities with ML and NLP. Creating a strategy for the overall growth in the core value of the products. Working with Data science and other engineering teams to build & deploy the Machine learning models which has led to an increase in user engagement by 25% and increasing the revenues by 10%.

• Develop a Product vision, strategy, and sound business plans to build the next generation search. 
• Working with the Product owners across the company to understand how we could incorporate the Machine learning solutions into their products. 
• Working with the data science teams to incorporate the new scalable machine learning technologies to incorporate into the products. 
• A/B testing to increase the user engagement/ satisfaction and LTV of the product.
•  Working with the user research teams to understand the user problems and find out innovative solutions to solve the problems.

Product Manager

Analyzed and streamlined the data from the databases using the ETL tools and BI tools such as Tableau and Microstrategy to build enterprise data visualization and reporting software applications. These applications have resulted in decreasing the costs for the Client's by 10% and increasing the revenues by 5%.

•	Creating use cases and detailed product requirements by working with sales and customer success managers. 

•	Manage Business Development through client engagement, working with cross-functional teams, such as brand marketing, User Interface (UI/UX), Engineering, and QA testing teams. 
• Coordinate Product launches by working with the Marketing team. 

•	Develop process flow diagrams, functional specifications, system design documents, and requirement documentation by working with the respective stakeholders. 

• Work closely with the data science teams to solve user problems using natural language search and machine learning technologies.

Project Manager

• Paint a clear vision of the company and communicate across all the members of the company. 

• Working in establishing the relations with the partners across the country, which has eased in selling the products, by-products produced, and increased the revenues of the company by over 20% in a span of a year.

•Finding different channels to procure the raw material in an efficient way has led to a decrease in the costs by over 10%. 

• Designing and testing the improvements in the manufacturing plant by working with Engineers to increase the efficiency of production. 

• Working with the government agencies to obtain the necessary permissions required for ease of the operations. 

• Making the process flow diagrams to work with the financial institutions and government agencies to facilitate the ease of loans and subsidies.

CEO and Co Founder

Working with the product team to prioritize projects and to maintain a healthy pipeline. Identifying potential improvements to our platforms and communicating them to the appropriate business owners.    
•	Assuming the role of Scrum Master by leading daily stand-ups, Sprint planning and ensuring agile methodology is followed. 
•	Gathering Project requirements, Project Financials and task breakdowns. Software development life cycle and software release process is followed.
•	Utilize project management tools such as Microsoft Project to effectively manage timeline and resources.
•	Overseeing the release process and generating release notes to send to clients detailing the changes made.

Project Manager Intern

Spearheaded the team to make the software’s to increase the life of the polymer recycling machinery. The techniques increased the life of machinery by 10%, which resulted in an increase in sales by 20%.
•	Use the analysis of the data produced from the sensors of Manufacturing Equipment, Polymer Recycling Equipment, and improving the product features and helps Business Intelligence and supply chain management.
•	Making visualization dashboards to represent the modeled data from Excel and SAS for Marketing teams.
•	Analyze Strategy, success Metrics, KPIs  and product performance. 
•	Improving the features and content in the products to be used in the Search Engine Marketing.

Senior Product Manager

Immigrant → EB-1A Green Card | Helping high-impact professionals control their future

We wrapped our in-person EB-1A session in Tampa and Atlanta with a focused, intimate discussion that allowed us to go deeper into real strategy.

We covered:
• How USCIS evaluates EB-1A evidence
• Where strong candidates unintentionally weaken their case
• How to position your work before filing
• Extended, practical Q&A around real scenarios

When the setting allows for real dialogue, the strategy gets sharper and that’s exactly what happened in Atlanta.

Next and final stop: Charlotte at 4:30 PM EST. If you want clarity before you file, join us in Charlotte.

Register here: https://luma.com/8w799rg0

#EB1A #ImmigrationLaw #ExtraordinaryAbility #Entrepreneurs #AtlantaEvents #CharlotteEvents

Charlotte closed out the series strong.

Our Senior Paralegal Manager, AINOY RINTHALUKAY, joined us for the final in-person EB-1A session in Charlotte — and it was our biggest turnout yet.

The room was engaged, sharp, and ready to get into real strategy. We spent the afternoon breaking down how USCIS evaluates evidence, where strong candidates unintentionally weaken their cases, and how to position a profile before filing.

The caliber of questions across this entire series reinforced something we keep seeing: professionals aren't looking for hype. They're looking for clarity.
Grateful to everyone who joined us in Tampa, Atlanta, and Charlotte and thank you, Alicia Zajaczkowski, for moderating all three events and keeping everything running smoothly.

#EB1A #ImmigrationLaw #ExtraordinaryAbility #Entrepreneurs #CharlotteEvents

Seasoned Business Immigration Professional

Marketing and Graphic Design

EB1A Experts has grown to 250+ employees, and we're just getting started. We need our next key leader.

We're Hiring: Vice President of Operations: Hyderabad, India

We're looking for a VP of Operations to lead our India office. You'll oversee Sales, Marketing, Customer Success, and Operations — reporting directly to me.

We need someone with good leadership experience, a track record of scaling operations, and the ability to partner with our US team across time zones.

If this sounds like you — or someone you know — reach out or apply here: https://lnkd.in/gYcwVyS7

You would not believe this.

A good friend of mine and his brother both got EB-1A approved.

Same family. Same timeline. Two green cards.

Here's the thing most people miss:

They weren't Nobel laureates.
They weren't CEOs of Fortune 500 companies.
They weren't famous.

But they were each the best at what they did in their niche.


Both 

→ Documented every contribution
→ Collected recommendation letters from industry leaders
→ Built a narrative that showed sustained impact

The result? Two approvals. Same household celebrating together.

EB-1A isn't about being famous. It's about being exceptional in YOUR lane.

If two brothers from the same family can both qualify, what's stopping you?

Disclaimer: This content is for informational purposes only and does not constitute legal advice.

The March 2026 Visa Bulletin just dropped.
And it's one of the most significant months we've seen in years.

Here's what happened 👇

🔥 EB-2 India Dates for Filing: +11 MONTHS
From Dec 2013 → Nov 2014.
That's the largest single-month jump in recent memory.
If your priority date falls in this window, file your I-485 NOW.

🎉 EB-2 Rest of World: NOW CURRENT
Was Oct 15, 2024 last month.
Now it's completely current.
If you're EB-2 from anywhere outside China — you can file TODAY.

☝️ EB-1 India & China Dates for Filing: +4 MONTHS
Jumped from Aug 2023 → Dec 2023.
EB-1 continues to move faster than any other category.
This is exactly why EB-1A is the smartest path for most professionals.

📊 EB-2 ROW Final Action: +6.5 MONTHS
Moved from Apr 2024 → Oct 2024.
Significant forward movement across the board.

But here's the part most people miss:

Look at the GAP between Dates for Filing and Final Action.

EB-2 India: 14-month gap
→ You CAN file I-485 and get EAD + travel permit
→ But your green card itself may take over a year more

EB-1 India: 9-month gap
→ Much smaller gap = faster to actual green card

EB-1 ROW: BOTH current
→ File and get your green card. Period.

This is why EB-1A changes the game.

While EB-2 India applicants celebrate an 11-month jump
to reach November 2014...

EB-1 India is already at December 2023.

That's a 9-YEAR difference.

And with EB-1A:
→ No employer sponsorship needed
→ No PERM labor certification
→ No waiting for your company to "start the process"
→ Premium processing in 15 business days

⚠️ One important warning:
The State Department noted that these large movements are partly because consular visa processing has slowed due to recent administration actions. If processing picks back up, retrogression could happen later this fiscal year.

Translation: Don't wait. File now if you're eligible.

The window may not stay open. 

Want to know if you qualify for EB-1A? We've helped 250+ professionals get their green cards through EB-1A.

Book a free consultation → https://lnkd.in/gwH47EiG

Follow Raghu Reddy for monthly visa bulletin breakdowns and EB-1A insights.

3 cities. 3 days. The biggest EB-1A event ever. Period.

🎯 Free LIVE Info Session: Obtaining a Green Card Through the EB-1A Visa Path

Join me as I share my journey and walk you through the EB-1A process, including eligibility, evidence strategy, timelines, and common pitfalls.

The session also includes a live Q&A to address your questions.
📍 Tampa, FL – Saturday, Feb 28 | 3:00–6:00 PM EST - 
https://luma.com/r510t1fy
📍 Atlanta, GA – Sunday, Mar 1 | 3:00–6:00 PM EST - https://luma.com/1z9fno4g
📍 Charlotte, NC – Monday, Mar 2 | 4:30–7:00 PM EST - https://luma.com/8w799rg0

Whether you’re in tech, research, business, healthcare, or emerging fields - this session will help you understand if EB1A is the right path for you.

Disclaimer: This session is for general informational purposes only and does not constitute legal advice. Individual results may vary.

My hands were shaking.

I just got off the phone with a client.

His EB-1A was approved.

With only 10 days to spare before his daughter turned 21.

Let me explain why this matters:

When a child of an EB-1A applicant turns 21, they "age out."

They can no longer ride on the parent's green card application.

They'd have to start their own immigration journey from scratch.

This father had been fighting for a long time, Delays. Uncertainty.

His daughter was 20 years, 355 days old when the approval came.

10. Days.

Think about that.

The difference between your child getting a green card and having to restart the entire process from zero was 10 days.

This is why I tell every parent:

→ Don't wait until it's "the right time"
→ File early. Build your profile NOW.
→ Every month you delay is a month your child can't get back.

The immigration system doesn't care about your family. You have to.

Disclaimer: This content is for informational purposes only and does not constitute legal advice.

I want to be honest for a second.

A client once told me: "Raghu, I don't have the money. But I need EB-1A."

That conversation changed how I think about immigration.

Here's what most people don't realize about EB-1A costs:

Now compare it to:

→ Staying on H-1B for 10-20 more years waiting for EB-2/EB-3 
→ Lost promotions because you can't switch jobs freely
→ The stress of depending on one employer for your legal status
→ Your kids aging out at 21

The math:
10 years of career limitations 

I told that client: "Let's figure this out."

We built a payment plan.
We prioritized the strongest evidence first.
We filed strategically.

6 months later: Approved.

Free to switch jobs. Free to start a business. Free.

EB-1A isn't an expense. It's the best career investment you'll ever make.

Disclaimer: This content is for informational purposes only and does not constitute legal advice.

My lawyer friends are going to kill me for this...

But someone needs to say it out loud:

You don't need to be "extraordinary" to file for the Extraordinary Ability green card. You just need the right strategy.

And I'm flying to 3 cities in 3 days to prove it.

🎤 Free LIVE Info Session: Obtaining a Green Card Through the EB-1A Visa Path
I'll break down the full EB-1A process — eligibility, evidence strategy, timelines, and the costly mistakes most people make — plus a live Q&A where you can ask me anything.

📍 Tampa, FL – Sat, Feb 28 | 3–6 PM EST
https://luma.com/r510t1fy
📍 Atlanta, GA – Sun, Mar 1 | 3–6 PM EST
https://luma.com/1z9fno4g
📍 Charlotte, NC – Mon, Mar 2 | 4:30–7 PM EST
https://luma.com/8w799rg0

Tech. Research. Business. Healthcare. Emerging fields — doesn't matter.

If you've been sitting on the sidelines thinking "that's not for someone like me," this session is literally built for you.

Disclaimer: This session is for general informational purposes only and does not constitute legal advice. Individual results may vary.

10 things you've been told about EB-1A criteria that are completely wrong.

Let me set the record straight.

USCIS lists 10 criteria for EB-1A. You need to meet 3.

But here's what nobody tells you:

Myth 1: "You need awards" → You need RECOGNITION, not trophies.
Myth 2: "More criteria = better" → Quality of evidence matters more than quantity.
Myth 3: "Publications mean papers" → Media coverage counts too.
Myth 4: "You need 100+ citations" → Context matters more than raw numbers.
Myth 5: "Judging means formal panels" → Peer review counts.
Myth 6: "Original contribution means patents" → Open-source, frameworks, methods all count.
Myth 7: "High salary proves extraordinary ability" → It helps but isn't sufficient alone.
Myth 8: "You need a PhD" → No education requirement for EB-1A.
Myth 9: "Only researchers qualify" → Engineers, founders, artists, athletes all can.
Myth 10: "You need to be globally famous" → Top of YOUR niche is enough.

The 3 most commonly approved criteria in 2025:

→ Critical or leading role (Criterion 6) 
→ Authorship of scholarly articles (Criterion 7)
→ Judging the work of others (Criterion 4)

67% approval rate in Q3 2025. Still strong.

But 40-50% of applications now receive RFEs.

The bar is rising. Your evidence needs to be airtight.

Disclaimer: This content is for informational purposes only and does not constitute legal advice.

I couldn't believe it.

A friend of mine got his EB-1A approved.

His priority date is current.
He's been in the US only 5 years.

Let me put that in perspective:

Most Indian-born professionals on EB-2 or EB-3 wait 10-15 years for a green card.

Some wait 20+.

My friend? Five years. Total.

From landing in the US to green card in hand.

Here's what made the difference:

He didn't wait to "become extraordinary."
He started documenting his work from Day 1.

→ Every conference talk — saved
→ Every publication — tracked citations
→ Every peer review invitation — documented
→ Every media mention — archived

By year 3, he had more than enough evidence.
By year 4, he filed.
By year 5, approved. The priority date is current for the rest of the world.

The EB-1 category has NO per-country backlog for most applicants.

While EB-2 India is stuck at 2014 priority dates, EB-1 India is at 2023. 

That's a 9-year difference. 

EB-1A isn't just faster. It's a completely different timeline.

Disclaimer: This content is for informational purposes only and does not constitute legal advice.

It felt like a punch to the gut.

"We have issued a Request for Evidence on your EB-1A petition."

40-50% of EB-1A applications now receive an RFE.

If you got one, don't panic.

Here's what I've learned from handling 260+ EB-1A cases:

The top 5 reasons USCIS issues RFEs:

1. Weak "final merits" argument
You met 3 criteria but didn't show WHY your work matters at a national level.

2. Vague recommendation letters
"She is excellent at her job" means nothing.
"Her algorithm reduced processing time by 40% across 3 Fortune 500 deployments" means everything.

3. No context for achievements
USCIS officers aren't experts in your field. They need YOU to explain significance.

4. Outdated evidence
Awards from 10 years ago with nothing recent signals a stale profile.

5. Quantity over quality
20 recommendation letters ≠ strong case.
5 targeted letters from credible sources = strong case.

The good news?

60% of RFE responses result in approval.

That's the same rate as applications that never got RFEs.

An RFE is not a denial. It's a second chance to make your case.

Disclaimer: This content is for informational purposes only and does not constitute legal advice.

Did you know that EB-2 NIW approval rates collapsed by 46% in one year?

From 79.99% in FY 2023 to 43.31% in FY 2024.

Meanwhile, EB-1A held steady at 67%.

Let that sink in.

For years, immigration attorneys told people:

"EB-2 NIW is easier. Start there."

That advice is now outdated.

Here's the current comparison:

EB-1A:
→ 67% approval rate (Q3 2025)
→ 15-day premium processing
→ No per-country backlog (ROW = current)
→ Self-petitioned
→ No employer needed

EB-2 NIW:
→ 54% approval rate (Q3 2025)
→ 45-day premium processing
→ Significant backlogs (India/China)
→ Self-petitioned
→ Stricter "national interest" standard now applied

The math is clear.

If you qualify for EB-1A, there is no reason to choose EB-2 NIW instead.

EB-1A has:
→ Higher approval rates
→ Faster processing
→ Shorter wait times
→ Better outcomes

Stop listening to 2023 advice in 2026.

The landscape has changed. Your strategy should too.

Disclaimer: This content is for informational purposes only and does not constitute legal advice.

📊 February EB-1A Approval Recap

Momentum continues.

✅ 11 approvals in Feb

Where the approvals came from:

🔹 AI & Machine Learning: 36% Search, personalization, real-time decision systems, AI governance.

🔹 Cloud & Distributed Systems: 27% Database technologies, BI infrastructure, performance engineering.

🔹 Specialized Engineering: 27% Semiconductor design, optical AR/VR, embedded systems for automated power.

🔹 Enterprise Technologies: 9% SAP, financial cloud integration.

Experience profile:

📈 Mean (avg) experience: 14.5 years 📊 Median experience: 14 years. Half below 14. Half above.

What stands out this month:

AI and ML dominated again — over a third of all approvals. But this month also showed strong representation from highly specialized fields like semiconductor physical design, optical science for AR/VR, and embedded systems for automated power.

You don't have to be in software to qualify. If your work is pushing a field forward, EB-1A is built for you.

The data keeps proving the same thing. It's not about the title. It's about how your contributions are framed, documented, and presented.

If you're a senior engineer, architect, or tech leader wondering whether EB-1A is realistic for you — the data says yes, if the story is built right.

Set up a call using the link: https://lnkd.in/gwH47EiG

Happy to share more insights.

Disclaimer: Content and any other data shared are for informational purposes only and do not constitute legal advice.

Someone has to say this.

The H-1B system in 2026 is fundamentally different from what it was 2 years ago.

Here's what changed:

1. Weighted lottery is HERE.
Starting FY 2027 (March 2026 registration):
→ Level 4 wage = 4 entries (107% higher odds)
→ Level 1 wage = 1 entry (48% LOWER odds)

If you're early career, your chances just got cut in half.

2. $100,000 proclamation fee.
Per new H-1B petition. Upheld by federal court in December 2025.

Your employer now pays $100K+ just to sponsor you.

Think they'll do that for a mid-level role?

3. Social media screening.
H-1B and H-4 applicants must now disclose social media accounts.
Accounts must be set to public during adjudication.

4. Processing holds.
USCIS placed holds on adjudications for nationals of "high-risk" countries.

The old playbook of "get H-1B → wait for green card" is breaking.

This is why I tell every tech professional:

If you have extraordinary achievements, EB-1A is your path out.

→ No employer sponsorship needed
→ No lottery
→ No $100K fee
→ 15-day premium processing

The system is changing. Your strategy should too.

Disclaimer: This content is for informational purposes only and does not constitute legal advice.

Hari Prasad Renganathan

Associate Data Scientist

Hari Renganathan

"Not selected."
3 times.

That email doesn’t just reject your visa.
It questions your worth.

You start thinking:
-- Was I not good enough?
-- Did I not build enough?
-- Did I not contribute enough?

But here’s the truth I learned:
The H1B lottery is random.
Your impact isn’t.

In 4 years, I:
✅ Graduated from Columbia
✅ Worked as a Data Scientist
✅ Built AI products
✅ Mentored 800+ students
✅ Spoke at TEDx
✅ Built a startup

And still,
a lottery said no.

That’s when I understood something powerful:
If your future depends on luck,
you’re playing the wrong game.

Some visas depend on sponsorship.
Some depend on selection.
But some depend on evidence.

Your work.
Your leadership.
Your recognition.
Your contributions.

That’s why I started seriously learning about
paths like O-1 and EB-1A.

Not as backup.
But as leverage.

I’ll keep sharing what I learn about it during this process. 
So, you’ll know what it takes to build a profile for talent visas.
If you’re an immigrant builder,
at least explore it properly.

I’ve partnered with EB1A Experts.
They’re offering a free consult call:
https://lnkd.in/eAq-qAmb

You don’t need to feel stuck.
A visa shouldn’t decide your ambition.

Keep building.
Just build smart.

Building @Flax | 2X Founder | TEDx Speaker | 10M+ Impressions | Ivy League Grad | Featured on BBC | Times Square | Columbia Startups 2024 Finalist

2 weeks back, I hosted an immigration 🇺🇸 + tech summit.
1000+ engineers, data, AI builders showed up.

Not because they wanted to “move abroad.”
But because they were confused.

After the session, my DMs were full of questions like:
-- “Should I try H1B again?”
-- “Is Canada PR easier?”
-- “Is UK better now?”
-- “What about O-1?”
-- “What even qualifies as extraordinary ability?”

And I noticed a pattern.
Most smart people aren’t blocked by skills.

They’re blocked by strategy.
They’re chasing countries.

Instead of choosing the right immigration category.
So I made this simple checklist for tech professionals 👇

First: Identify your current profile stage.
1️⃣ Early-career with a job offer
↳ Employer-Sponsored routes
↳These are job-driven.
↳Your company is your anchor.

2️⃣ Strong achievements, awards, speaking, patents, impact
↳ Merit / Extraordinary Ability routes
↳These are profile-driven.
↳Your work is your leverage.

3️⃣ Building something impactful in AI, research, deep tech
↳ National Interest / Self-Petition routes
↳These are impact-driven.
↳Your contribution matters more than sponsorship.

4️⃣ Founder or scaling entrepreneur
↳ Founder visas / expansion pathways
↳These are business-driven.
↳Your company becomes the vehicle.

5️⃣ Strong education + experience but no sponsor
↳ Points-Based systems
↳These are score-driven.

Your profile accumulates eligibility.
Immigration today isn’t one ladder.
It’s a framework.

When I was navigating my own situation, I realized something important:

If your future depends on one lottery, one employer, or one country…
You’re building on a fragile base.

The smartest professionals I see today are building:
• Skills
• Proof of impact
• Public credibility
• Optionality

Not just resumes.
This checklist isn’t legal advice.
It’s a strategic lens.

Because global mobility isn’t about escaping a country.
It’s about aligning your visa pathway with your long-term career game.

And once you see immigration as strategy instead of emotion,
you stop reacting.
You start designing.

Dedicating this to all immigrants 🥂
🔁 Reshare this with your immigrant community

I quit my 9-5 job.
Finally.

Fancy title.
Fancy company.
Fancy pay.

21-year-old me would have done anything to get this job.

But today is my last working day.
It might be my last employment day ever.

Coming from a Tier-3 city and Tier-3 college in India,
I never imagined this journey.

→ Moved to Columbia University, New York for my Masters
→ Became a Data Scientist in a gaming company
→ Finally hit the six-figure salary
→ Left that to join a YC-backed startup as a Senior AI Engineer
→ Moved to London

Life felt like a dream.
Yet today, I’m walking away from it.

Why?
Because AI is changing the world.
And I want to build something that leaves a mark on it.

Maybe in 10 years,
the way we work will look completely different.

So I’m choosing to spend my time building.
More on that tomorrow.
(No, I’m not becoming a farmer)

This post is for someone
waiting for the “right time” to start.

Remember:
It's either One Day or Day One.
You decide.

To every international student 🇺🇸 reading this:
Your visa is a constraint.
Not your identity.

4 years ago, I was ghosted & rejected everywhere.

$88K in student debt.
1000+ job applications.
Part-time shifts at 6 AM.

Trying to look confident while quietly panicking.

Today?
-- UK Skilled Worker visa 🇬🇧
-- Senior AI Engineer role
-- 48,000+ builders on LinkedIn
-- Global summits with 1,500+ registrations
-- Built products. Failed. Pivoted. Built again.

The difference wasn’t luck.
It was leverage.

Here’s what I learned the hard way:
→ Don’t build just a resume. Build proof.
Projects. Products. Public work.

→ Don’t wait for stability to create.
Your content can outlast your visa.

→ Don’t play the “safe immigrant” game.
Play the long game.

→ Geography changes.
Skill stacks change.
Platforms change.
Your ability to learn and build is the only constant.

I moved from India 🇮🇳 → US 🇺🇸 → UK 🇬🇧
Not because the system was easy.

But because I refused to shrink my ambition to fit paperwork.
Your visa is temporary.
Your skill stack is compounding.

And if you’re reading this worrying about your future…
You’re probably already doing more than you think.

Keep building.

Your next chapter doesn’t need permission.

I didn’t lose the H1B lottery 🇺🇸.
I lost control.

And that’s what hurt more.
Because as an immigrant,
you can handle hard work.

You can handle:
-- 1000 job applications
-- 15 hour days
-- Rejections
-- Loneliness

But what breaks you is this:
Your entire future depends on luck.

After my 3rd “Not selected” email,
I stopped asking,
“Why me?”

I started asking,
“What gives me control back?”

That’s when I realized something:
The goal was never just staying in America.
The goal was freedom.

Freedom to build without a countdown.
Freedom to choose where I live.
Freedom to not beg a lottery.

And that’s when I started learning about options
that reward impact, not randomness.
O-1. EB-1A. NIW.

Not through panic.
Through real guidance.

If you’re tired of living on “maybe,”
at least understand your options.

I’ve been speaking with EB1A Experts,
and they offer a free consultation call
to see if you even qualify:
https://lnkd.in/eAq-qAmb

No pressure.
Just clarity.

Because immigrants don’t need sympathy.
We need strategy.

Dedicating this to all immigrants & international students 🥂
🔁 Reshare with you immigrant community

All the Data Analysts.
All the Data Scientists.
All the Product Managers.

Still “learning AI” for months…
but never actually becoming good at it.

You don’t need more content.
You need a system.

The world is moving fast.
AI is not waiting for you to feel ready.

So I built one.
A 31-Day AI System.

Exactly what to learn.
Exactly what to build.
Exactly what to do each day.

No guessing.
No random YouTube hopping.
No overwhelm.

If you’re serious about mastering AI in 31 days,
Comment your email ID 👇
I’ll send you the exclusive E-book copy.

In your 20s, people won’t see your vision.
That’s normal.

In 2020, I started writing on LinkedIn.
People said: “Who even writes here?”
Today, 48,000+ people follow my work.

I left Mechanical Engineering for Data Science.
People said: “Why waste your degree?”
That “waste” built my tech career.

I applied to top universities without the perfect background.
People said: “Be realistic.”
Columbia University didn’t say that.

I lost the H1B lottery 3 times.
People said: “Leaving America means you failed.”
I moved to London.
Promotion. Pivot. Upgrade.

Here’s what I’ve learned:
The moments people doubt you
are usually the moments you’re growing.

Your life expands with the risks you take,
not the opinions you obey.

Back yourself.
The noise fades.
The results don’t.

Dedicating this to everyone who want to dream big 🙌

So let’s try something different.
Share 1 ambitious thing you want to achieve 👇
Let people motivate you.
Even if no one does,
I will root for you.

Hiring International Students is simpler than you think.

A company once told me,
“We don’t sponsor visas.”

I wasn’t asking for sponsorship.
I was on OPT.

This happens more than people realize.

There’s this invisible tension the moment someone says:
“I’m on an F-1 visa.”
The room changes.

What many teams don’t realize:
Hiring an F-1 student during OPT is often the simplest hiring decision you can make.

For up to 3 years in many STEM cases, there is:
-- No sponsorship paperwork
-- No immigration legal fees
-- No special visa petition

It’s just employment.
But confusion creates friction.

Recruiters hear “visa” and think:
Lawyers. Costs. Risk. Complexity.

So resumes get filtered quietly.
Not because of skill.
Because of uncertainty.

And here’s where I’ll say something uncomfortable:
International students cannot assume recruiters understand the nuance.

You have to lead the clarity.
If you’re on OPT, say it clearly:
“I’m authorized to work for X months without sponsorship.”

That one sentence removes doubt.
Doubt kills momentum.
Clarity creates interviews.

This isn’t about policy.
It’s about awareness.

When companies understand this, they widen their talent pool overnight.
When students communicate confidently, doors open faster.

Most hiring friction isn’t about capability.
It’s about misunderstanding.

Fix that, and the system works better for everyone.

🔁 Share this with someone who still thinks “F-1” automatically means “sponsorship.”

Follow me Hari Prasad for more International Student tips.

Thanks to Madhan for spreading the awareness. His post made me to share this.

When I got my first six-figure offer in the US 🇺🇸,
I thought I had made it.

Debt? Gone.
Parents relieved.
LinkedIn glowing.

But 3 months in, something felt off.
I wasn’t broke.
I wasn’t stressed.
But I was dependent.

Dependent on:
– One employer
– One visa
– One approval
– One country

That’s when it hit me:
Money gives comfort.
Optionality gives power.

So I started building differently.
Not just my career.
My profile.
Public speaking.
Community.
Products.
Impact beyond my job description.

Not for validation.
For leverage.

Recently, I started learning about merit-based routes like EB-1A.
Not from panic. From long-term thinking.
I spoke with EB1A Experts to understand what actually counts.

The clarity was surprisingly practical.
You can book a free consultation call here: https://lnkd.in/eAq-qAmb

If you’re playing the long game,
clarity > assumptions.

Because the real flex isn’t salary.
It’s optionality.

Dedicating this to every international student 🥂

I'm thrilled to launch "the ReAlity Show" 🎉

Most career-changing advice I’ve received didn’t come from courses.
It came from conversations.

A founder sharing what actually worked.
An engineer explaining what really moves the needle.
A builder being brutally honest about what failed.

The problem?
Most of these conversations happen behind closed doors.

So I decided to open them.
Introducing The MRP Podcast - The ReAlity Show.

Every week I sit down with someone interesting.
No fluff. Just real stories and lessons.

Our first guests:
-- Soundarya Balasubramani : Why writing online can change your career
-- Karun Thankachan : Life of a Data Scientist in Big Tech
-- Varun Negandhi : How professionals actually land interviews at Google, Meta, and more

First episode live on March 9.
You bring your questions for these incredible folks.

RSVP here: https://lnkd.in/erhcV4Pd

Let’s make the conversations that usually happen in private, PUBLIC.

🔁 Reshare to help your community.

LinkedIn is the most misleading platform on the internet.
Including my own profile.

If you look at my page, you’ll see:
-- Ivy League degree
-- Senior AI Engineer
-- Ex-Data Scientist at a top gaming company
-- 48k+ followers
-- TEDx talks
-- Founder

Looks like everything is working, right?
Here’s what you don’t see.

You don’t see:
 – The experiments that made $0
 – The launches that flopped
 – The nights I questioned quitting my job
 – The revenue that didn’t match the impressions
 – The pressure of being “the AI guy” publicly
 – The loneliness of building something nobody understands yet

You see the milestones.
You don’t see the maintenance.

You see growth.
You don’t see doubt.

You see “featured on Times Square.”
You don’t see the months of feeling irrelevant.

Most creators won’t say this:
Impressions don’t equal income.
Followers don’t equal clarity.
Announcements don’t equal peace.

Sometimes the loudest profiles are fighting the quietest battles.
I’m not complaining.
I chose this path.

But I think more builders need to hear this:
It’s okay if your backend is messy.
It’s okay if your revenue is inconsistent.
It’s okay if you’re still figuring it out.

Because almost everyone is.
LinkedIn is a highlight reel.

Real life is a draft version.
And most of us are still editing 🙌

One random night, I Googled my own name.

Not out of ego.
Out of curiosity.

What shows up when someone searches you?

For me, it was:
– My job title
– My university
– A few LinkedIn posts
– Nothing that outlives my employment

That scared me.
Because if tomorrow my job disappears,
what remains?

That night I realized:
I was renting credibility.
Not owning it.

My employer gave me a title.
My visa gave me status.
My salary gave me comfort.
But none of those belonged to me.

So I started building assets that can’t expire.
– Teaching publicly
– Speaking at events
– Writing consistently
– Launching products
– Creating measurable impact outside payroll

Not for clout.
For compounding.

Recently, I’ve been learning how global impact is actually evaluated at higher levels like EB-1A.
I spoke with EB1A Experts just to understand what truly counts versus what just feels impressive.

If you’re serious about playing beyond one country or one employer,
it’s worth getting clarity.
You can book a free consultation call here – https://lnkd.in/eAq-qAmb

Because job titles can disappear.
But documented impact?
That travels with you.

I moved from Data Scientist to AI Engineer
Here's how you can do it too:

📌 Save this for later

Not a career change. 
Not starting over. 
One shift.

From building models → to building systems that actually run in production.

Here's the truth most people skip:
Data Scientists ask "Does the model work?" 
AI Engineers ask "Can this system serve thousands of users without breaking?"

Same foundation. 
Higher standard.

The gap isn't talent. 
It's deployment. 
APIs. Infrastructure. Monitoring.

The skills you already have? 
Still yours. Still valuable.

You just need to learn how to ship them.

This roadmap covers exactly that:
→ Why demand is shifting from model builders to system builders 
→ The skills you already have (and why you're closer than you think) 
→ The real gap: Docker, cloud, CI/CD, vector databases 
→ LLMs, RAG systems, and agentic AI workflows 
→ A 90-day plan you can start this week 
→ Portfolio projects that hiring managers actually care about

AI Engineering isn't replacing Data Science.
It's a different path.

The industry no longer rewards models sitting in notebooks. 
It rewards end-to-end systems that deliver real outcomes for real users.

If you're a Data Scientist wondering what's next 
this is your clearest path forward.

Save this for when you're planning your next move. 
♻️ Repost if you know a Data Scientist who needs to see this.

👉 If you want to build your first real AI product within 4 weeks, join my live workshop - https://myrealproduct.com/

Data to AI

Two people.
Same job. Same skills. Same salary.

Completely different U.S. immigration outcomes.

Often, the difference comes down to one decision:
H-1B or O-1.

It’s not about which visa is “better.”
It’s about which one fits your stage and strategy.

H-1B works well if you’re on a traditional employment path with strong employer sponsorship.

O-1 works when your profile shows measurable impact, leadership, or recognition beyond just your job title.

One relies on a lottery.
One relies on documented merit.

Both are valid.
Both have trade-offs.

The real mistake isn’t choosing the wrong one.
It’s not thinking about positioning early enough.

Immigration is not just paperwork.
It’s career strategy.

PS: People have been asking this, so I compiled this to make this easier for you. This is not an immigration advice.

🔁 Reshare this to help your immigrant community

I wrote an E-book

Everyone says, “Learn AI.”
Nobody tells you what to do tomorrow.

So I wrote a 31-Day AI Challenge (E-book)
No random YouTube.
No guessing.
No overwhelm.

Just one clear action per day.

If you follow this properly for 31 days, you won’t “consume AI content.”
You’ll understand it.

Get the FREE book here:
https://lnkd.in/emZCT9Pj

Don’t binge it.
Execute Day 1 today.
Hope this helps!

With love,
Hari

🔁 Reshare with your friend who is trying to learn AI

Most people “learn AI”.
Few people build an AI product.

So we built MyRealProduct.

A 4-week program where you go from 
idea → deployed AI product → first users.

Week 1 -- Problem & Strategy
 • Problem identification
 • Competitor & market analysis
 • Landing page
 • Project management

Week 2 -- Build the MVP
 • AI Agents
 • RAG apps
 • Vector DB
 • LLMs (GPT, Gemini)
 • APIs, Python, Streamlit
 • GitHub, Supabase

Week 3 -- Deployment
 • CI/CD
 • AWS S3, EC2, IAM
 • Domain + SSL
 • Hosting

Week 4 -- Launch
 • Marketing frameworks
 • Pitch deck
 • Product demo
 • Feedback loop

If you always wanted to learn AI by building, this is for you.
Comment your email 👇. I’ll send the invite.

31 day AI Engineer challenge

Everyone on LinkedIn sounds like they swallowed an AI dictionary.

AGI. RAG. Embeddings. 
Context windows. Fine-tuning. Agents.

And if you’re early in your journey, it feels like:
“Maybe AI is just too complex for me.”

Let me tell you something honestly.
Even as an AI Engineer, sometimes I read posts and think:
“Why are we making this sound harder than it is?”

So I built a simple AI Terminology Cheat Sheet.
Not to sound smart.
But to remove the intimidation.

Here’s the truth beginners don’t hear enough:
You’re not struggling because AI is impossible.
You’re struggling because everyone is speaking a language you were never formally taught.

And when you don’t have the mental model, everything feels random.
So I broke AI into 6 practical layers:
1️⃣ Core AI Concepts
The learning foundations behind modern intelligence.

2️⃣ Model Development
 How models are trained, tuned, and optimized.

3️⃣ Processes & Functions
 How AI actually reasons and generates outputs.

4️⃣ Specialized Applications
 Where AI creates real business value.

5️⃣ Ethics & Safety
 The guardrails that make systems trustworthy.

6️⃣ Tools & Infrastructure
 The compute and architecture powering everything underneath.

When you see AI as an ecosystem instead of one magical thing…

The noise disappears.
You stop memorizing buzzwords.
You start understanding systems.

And in 2026, AI literacy isn’t about knowing the latest tool.

It’s about understanding the vocabulary of intelligence.

Because the people who learn 
this language early won’t just use AI.
They’ll design how others use it.

If you want to learn AI while you build, join 4 week hands-on workshop - https://myrealproduct.com/

🔁 Reshare to bust this myth & help everyone.

Most people think AI apps run on one model.
They don’t.
They run on a stack.

When you open an AI product,
you see a chatbot.

What you don’t see:
-- Frontend
-- Backend
-- Model
-- Orchestration
-- Memory
-- Guardrails
-- Infra
-- Data pipelines
-- CI/CD

The model is just one layer.
Without orchestration, it can’t think in steps.

Without memory, it forgets.
Without guardrails, it breaks.
Without infra, it doesn’t scale.

Modern AI apps aren’t experiments.
They’re full software systems.

If you understand the ecosystem,
you build products.

If you don’t,
you build demos.

If you want to build end-to-end AI products, join my hands on workshop - https://myrealproduct.com/

Follow Hari Prasad for more AI tips and tricks

You don’t realize how complex AI agents are…
Until one fails in production.

In a demo, it feels magical.
In production, it’s a system.

What looks like a “simple AI assistant” 
is actually a structured lifecycle running behind the scenes.

It’s not just:
LLM + prompt + tools.

It’s this 👇
1️⃣ Initialization
Define goals.
Set permissions.
Connect tools.

2️⃣ Input Acquisition
User prompts.
Triggers.
External data.

3️⃣ Context Processing
Understand intent.
Retrieve memory.
Filter what matters.

4️⃣ Planning & Reasoning
Break big objective → smaller steps.
Decide what to do first.

5️⃣ Execution & Collaboration
Call APIs.
Use tools.
Sometimes coordinate with other agents.

6️⃣ Learning & Adaptation
Evaluate results.
Update memory.
Improve next attempt.

7️⃣ Final Output
Deliver outcome.
Persist state.
Close the loop.

What makes agentic AI powerful isn’t just intelligence.

It’s the loop:
Context → Reasoning → Action → Feedback.

Most people obsess over prompts.
Production teams obsess over lifecycle design.
Because real AI agents don’t just respond.

They operate.
They adapt.
They evolve.

If you’re building agents, design the system.
Not just the prompt.

Want to learn more about end-to-end AI development in 4 weeks?
Sign up to my upcoming live workshop - https://myrealproduct.com/

Follow Hari Prasad for more AI tips & hacks!

Most teams trust LLMs because “the demo worked.”
𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝘁𝗲𝗮𝗺𝘀 𝘁𝗿𝘂𝘀𝘁 𝘃𝗮𝗹𝗶𝗱𝗮𝘁𝗶𝗼𝗻 𝗹𝗮𝘆𝗲𝗿𝘀.

So… what actually makes AI reliable?

𝗧𝗵𝗲 𝗶𝗱𝗲𝗮 𝗶𝗻 𝟲𝟬 𝘀𝗲𝗰𝗼𝗻𝗱𝘀
↳ LLMs generate probabilities, not guarantees
↳ Production systems require constraints, not vibes
↳ Raw output ≠ usable output
↳ Every response must be validated before execution
↳ Reliability is engineered, not prompted

𝗧𝗵𝗲 𝟴 𝗹𝗮𝘆𝗲𝗿𝘀 𝗼𝗳 𝗟𝗟𝗠 𝗢𝘂𝘁𝗽𝘂𝘁 𝗩𝗮𝗹𝗶𝗱𝗮𝘁𝗶𝗼𝗻

↳ 𝗦𝗰𝗵𝗲𝗺𝗮 𝗩𝗮𝗹𝗶𝗱𝗮𝘁𝗶𝗼𝗻
Enforce JSON, typed fields, strict structures for APIs & automations

↳ 𝗥𝘂𝗹𝗲-𝗕𝗮𝘀𝗲𝗱 𝗖𝗵𝗲𝗰𝗸𝘀
Apply business logic after generation

↳ 𝗟𝗟𝗠-𝗮𝘀-𝗝𝘂𝗱𝗴𝗲
Secondary model scores reasoning quality & detects hallucinations

↳ 𝗥𝗲𝘁𝗿𝗶𝗲𝘃𝗮𝗹 𝗖𝗼𝗻𝘀𝗶𝘀𝘁𝗲𝗻𝗰𝘆
Ensure answers stay grounded in verified sources

↳ 𝗦𝗮𝗳𝗲𝘁𝘆 𝗙𝗶𝗹𝘁𝗲𝗿𝗶𝗻𝗴
Block harmful, biased, or policy-violating outputs

↳ 𝗗𝗲𝘁𝗲𝗿𝗺𝗶𝗻𝗶𝘀𝘁𝗶𝗰 𝗖𝗼𝗻𝘀𝘁𝗿𝗮𝗶𝗻𝘁𝘀
Hard boundaries for regulated or structured workflows

↳ 𝗦𝗲𝗹𝗳-𝗥𝗲𝗳𝗹𝗲𝗰𝘁𝗶𝗼𝗻 𝗟𝗼𝗼𝗽𝘀
Model critiques & refines before final answer

↳ 𝗛𝘂𝗺𝗮𝗻-𝗶𝗻-𝘁𝗵𝗲-𝗟𝗼𝗼𝗽
Expert review when risk tolerance is low

𝗪𝗵𝗲𝗿𝗲 𝗺𝗼𝘀𝘁 𝘁𝗲𝗮𝗺𝘀 𝗳𝗮𝗶𝗹

↳ They optimize prompts, not architecture
↳ They measure latency, not reliability
↳ They monitor tokens, not hallucination rates
↳ They trust “looks right” instead of “verified right”

𝗧𝗵𝗲 𝗿𝗲𝗮𝗹 𝗱𝗶𝗳𝗳𝗲𝗿𝗲𝗻𝗰𝗲

Demo AI → impresses users
Validated AI → survives production

In production, intelligence matters.
𝗩𝗮𝗹𝗶𝗱𝗮𝘁𝗲𝗱 𝗶𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 𝘀𝗰𝗮𝗹𝗲𝘀.

Learn & Build AI in just 4 weeks:
https://myrealproduct.com/

📌 Save this if you’re building AI beyond prototypes
♻️ Share it with your ML / AI friends

taplio

The Battle

Raghu Reddy

Hari Renganathan

Followers

Posts

Engagements

Likes

Performance ScoreRaghu Reddy's LinkedIn Performance

Performance ScoreHari Renganathan's LinkedIn Performance

Ready to grow your LinkedIn presence?

taplio

The Battle

Raghu Reddy

Hari Renganathan

Followers

Posts

Engagements

Likes

Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Raghu Reddy's LinkedIn Performance

Performance ScoreHari Renganathan's LinkedIn Performance

Ready to grow your LinkedIn presence?

Performance ScoreRaghu Reddy's LinkedIn Performance