The Tech Content Agency

Your groundbreaking tech is worthless

Harsh, but you need to hear it

The market is saturated with startups shouting "revolutionary"
 
Sure, you may have built the most cutting-edge tech ever seen

But that genius amounts to nothing if nobody knows you exist

Meanwhile, mediocre firms with inferior products are bathing in investor $ and media hype

It's not fair, it's a wake-up call

Technical wizardry and grinding alone won't captivate investors and customers

I ventured into LinkedIn to prospect clients for my Machine Learning agency

In just 1 year, I grew an engaged technical audience of 30k followers, generating 8.6 million impressions with no BS Data Science and Machine Learning content

Now, I help AI/ML founders turn their online presence into a compounding authority-building asset that amplifies credibility, opportunities, and impact—on autopilot

I've written content for: 
- Google ML Program Managers
- Microsoft Head of Engineering
- Airbnb and Google Data Scientists
- YouTube Senior Software Engineers, and others..

And founders backed by:
- YC
- A16Z
- Sequoia
- Techstars, and more..

As well as of equally awesome bootstrapped founders across:
- LLMs
- VectorDBs
- Data Analytics
- Data Engineering

If they could rise above the noise, so can you

I can help you with: 

✒️ No BS AI/ML Content  
⭐ LinkedIn Profile Revamp
🎯 Website Copy Optimization

Yeah, even if you're an introvert with a "boring" niche

My booking link: https://tally.so/r/wLW0oz (or shoot me a DM) 👉

Founder, AI/ML Copywriter & Brand Strategist 

Medium

● Grown Data Science Collective (#1 Medium Data Science Publication) from 0 to 830k+ followers

Founding Editor - Data Science Collective

Prediktiva

● Launched the first Data Science Agency in LATAM

Head of Data Science

Liftit

•  increases profitability and organic revenue by 57%
•  led strategic finance and analytics across 5 countries 
•  right hand to the CEO in raising a $14.3m Series A and $22.5m Series B

Head of Analytics

Suyo PBC

•  set up and directed finance function from scratch, including financial modelling, FP&A, budgeting & reporting, KPIs & OKRs tracking
•  developed and allocated operational budgets for the national expansion plan
•  supported the CEO during Seed-Round due-diligence and negotiations

Head Of Finance

I help Silicon Valley tech-founders build their audience on LinkedIn

Done-for you Audience Building & Content Writing for AI/ML Founders that frees up 100% of your time, so you can focus entirely on building your company  
  
Is your work too important to ignore? 💌 https://tally.so/r/wk69VJ  (or shoot me a DM) 👉
  
It's 2025 and we're at the peak of the attention economy  
  
Where Authenticity is king, visibility is currency and people wanna buy from people

Not faceless dehumanized brands  
  
So, they told you LinkedIn was "free marketing" you slapped some posts and called it strategy  
  
You've poured hours crafting the 'perfect' post, only to watch it sink without a trace..  
  
Then it dawned on you, your technical brilliance isn't enough to draw a crowd  
  
Hell, maybe you've even tried mimicking influencers, scrambling for any traction..  
  
Your post got 500 f*cking views... from your friends...  
  
Being ignored is soul-crushing  
  
It's not your fault tough  
  
When you started your company, you didn't sign-up for a degree in an Audience Building, Copywriting and LinkedIn strategy 

And here you are, sacrificing yet another late night for your vision  

"Am I just sabotaging my efforts?"  
  
"Is my life-work meaningless?"  
  
Getting traction feels impossible  
  
You hoped hiring some marketer would save your weekends but..  
  
Tech is a code they can't crack  
  
They can only churn out the lame, soul-sucking crap we all ignore on sight  
  
With armies of founders flooding feeds, your voice dissolves into meaningless white noise  
  
But in the process, you've wasted more of your precious time explaining 101 tech concept and rewriting low-quality drafts 

Done being ignored?  
  
Let's make the world listen 
  
I can help you with:  

✒️ No BS AI/ML Content  
⭐ LinkedIn Profile Revamp
🎯 Website Copy Optimization  

I've done it before:

↳ For founders backed by YC, a16z, Sequoia, and Techstars
↳ For bootstrappers in LLMs, ML, Vector DBs, Data Analytics, and Engineering
↳ For AI and Machine Learning leaders at Google, Microsoft, Airbnb, and YouTube

If they could rise above the noise, so can you

Yeah, even if you're an introvert with a "boring" niche

Still with me?  
  
Amazing—You're amazing!  
  
Cheers,  
Paolo

My booking link: 💌 https://tally.so/r/wLW0oz (or shoot me a DM) 👉

Most Agents are Stuck in Development Hell 💀

Here’s my 5-step roadmap to break out — and ship production-ready AI agents:

1️⃣ Master Python for Production

First, you need to nail the basics that matter in prod:

○ FastAPI: For rapid, lightweight, production-grade APIs
○ Async Programming: For faster, concurrent agent tasks
○ Pydantic: For reliable data validation and settings management

Check out these resources:
🔗 Fast API (1) https://lnkd.in/g7xiUur8
🔗 FastAPI (2) https://lnkd.in/gkviWXsn
🔗 Async Programming - https://lnkd.in/ghZkAseJ
🔗 Pydantic - https://lnkd.in/gMZ8ZQvB
🔗 Database Management (SQLAlchemy + Alembic) https://lnkd.in/gggR5_6P

Start here, then move to Step 2.

2️⃣ Make Agents Stable

Now you have two options:  

○ Logging: Essential for tracing bugs in complex agents
○ Testing:  Unit + integration tests prevent silent failures

There's no wrong place to start, but you must do both

Dive into the essentials with:
🔗 Logging - https://lnkd.in/gCTQDgX9
🔗 Unit Testing https://lnkd.in/gCTQDgX9
🔗 Integration Testing  https://lnkd.in/gCJwzRmK

3️⃣ Go Deep on RAG

RAG is a system built in two parts:

↳ RAG Fundamentals:  
○ Understand what RAG is and why it matters
○ Learn how embeddings power semantic search
○ Use vector DBs for fast, scalable retrieval Databases

↳ RAG in Practice
○ Smart chunking = better context, better answers
○ Use LangChain to chain RAG components together
○ RAG Evaluations: Measure retrieval and answer quality
   
Start with these:
🔗 Understanding RAG – https://lnkd.in/gBu_bEku
🔗 Text Embeddings – https://lnkd.in/g7F9RZ-d
🔗 Vector Database – https://lnkd.in/g96AXduj
🔗 Chunking Strategies – https://lnkd.in/gkjHe7fW
🔗 RAG with LangChain – https://lnkd.in/g9EFSvVQ
🔗 RAG Evaluations – https://lnkd.in/gNxz5Ndq
🔗 Advanced RAG Techniques – https://lnkd.in/ggDmV3-p

4️⃣ Define Agent Architecture

Useful agents need structure, clarity, and memory

Here's your toolkit:

○ LangGraph (or similar) – Framework for production-grade agents
○ Prompt Engineering – Write clear, effective instructions
○ SQLAlchemy + Alembic – Manage structured memory with confidence

Don’t sleep on this — it’ll bottleneck everything down the line

🔗 Prompt Engineering Guide – https://lnkd.in/g29y6WXu

5️⃣ Monitor & Improve in Production

This is where good agents become great:

○ Spot bugs early
○ Understand how user interact
○ Continuously improve your agent

Use Langfuse to monitor, debug, and optimize in the wild
🔗 https://lnkd.in/g-cuPMuV

No monitoring = no learning = no scale

That's it
Five steps, zero fluff.
🚀  Let’s go from stuck to shipped — fast.

💾  Save this post — it's your blueprint for building agents that work
♻️  Repost to help more builders escape development hell

Post Inspiration Shirin Khosravi Image Credits Rakesh Gohel 🙌

Paolo Perrone

No BS AI/ML Content | ML Engineer with a Plot Twist 🥷30M+ Views 📝

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