Tiffany Teasley

LexisNexis

Data Scientist

North Carolina Central University

Adjunct Mathematics Professor

Durham Public Schools

High School Mathematics Teacher

Wake County Public School System

High School Math Teacher

I’m an AI Developer and Consultant helping educators and professionals create their own AI solutions without relying on expensive tools or subscriptions. I believe teachers don't need to buy AI solutions. They can create their own. That’s why I founded AI Teach Pro, a site dedicated to helping educators build custom AI tools that work for their classrooms and communities.

At LexisNexis, I work on the flagship AI project, Protege, as part of the core AI team. I use data science, machine learning, and natural language processing to solve real-world problems and build tools that support legal professionals with clarity, speed, and smarter insights.

I’m also known as the Data Sistah. Through my brand, I help aspiring data professionals, especially those transitioning from non-technical fields, get the support, skills, and confidence they need to enter the world of data and AI.

As a former high school math teacher and a National Board Certified Teacher, I bring over 20 years of classroom experience into the tech space. I’m passionate about showing educators how AI can support, not replace, the work we do.

If you’re a teacher curious about AI or a future data scientist trying to find your path, I’d love to help.

AITeach Pro Website: www.aiteachpro.com
Data Sistah Website: www.datasistah.com

Getting started is exciting. 
But staying consistent takes strategy.
Top lists for data scientists to keep you focused.

Top 5 Non-Technical Skills for Data Scientists:

1. Business Acumen
2. Communication Skills
3. Data Intuition
4. Problem-Solving
5. Collaboration

Top 5 Industries for Data Scientists:

1. Banking, Financial Services, and Insurance (BFSI)
2. Media & Entertainment
3. Healthcare
4. Retail
5. Telecommunications

Top 5 Technical Skills for Data Scientists:

1. Statistical Analysis and Computing
2. Machine Learning
3. Deep Learning
4. Big Data Processing
5. Data Visualization

Top 5 Data Science Roles:

1. Data Scientist
2. Data Analyst
3. Data Engineer
4. Machine Learning Engineer
5. Business Intelligence Engineer

Top 5 Machine Learning Algorithms:

1. Linear Regression
2. Logistic Regression
3. Support Vector Machine (SVM)
4. Naive Bayes
5. Decision Tree

Top 5 List for Data Scientists 

traversaal.ai

Founder

I regularly do speaking Engagements around the world. Presented at 100s of conferences with attendees in the 1000s. 

I also help with AI Corporate Events and Trainings

Professional Speaker

Aperture® Venture Capital

Venture Partner

UCLA Anderson School of Management

Adjunct Professor

Stanford Continuing Studies

Teaching LLMs Product Building from Scratch

Lecturer

Maven

Maven Instructor

Google

Senior Research Science Manager

Research Science Manager

Santa Clara University Bronco Venture Accelerator

Growth Mentor

Santa Clara University

Lahore University of Management Sciences

Centre for Continuing Education Studies (CES), LUMS.

Instructor

I am a Founder by day and a Professor by night. My work revolves in the realm of NLP and Multi-Modal Systems. We created traversaal.ai with one vision: to provide scalable LLM Products for  Enterprises, which can seamlessly integrate within the existing ecosystem while being customizable and cost-efficient.

If you are building Gen AI capability within your infrastructure and finding it challenging, we might just have a solution for you that can help you go to market faster and tremendously reduce cost. 

For speaking, advisory, or collaboration inquiries, please send an email to: hello@traversaal.ai

Learn more about my courses on LLMs here: https://maven.com/boring-bot/

Background: I have 15+ years of experience of leading Data Science/ Machine Learning teams. My area of expertise is Experiment Design, NLP, Recommend-er Systems and Time Series forecasting.

My experience spans over three continent and seven countries across APAC, Middle East and Africa and North America and multiple industries, namely, Tech, Telecommunications, Finance and Retail.

Specialties: Large Language Models,Causal Inference, Deep Learning, Graphical Modeling, Cloud Computing, Retail Analytics,  Optimization, Game Theory, NLP

Hamza Farooq

Gabriela de Queiroz and I just kicked off a new cohort of Agentic AI System Design for PMs on Maven, and seeing the impact of past students always reminds me why we built this course in the first place.

Over the last 15 cohorts, more than 1,000 PMs and builders have gone through this program, making it one of the oldest and most trusted AI courses on Maven. What makes me proudest is watching students take these frameworks and immediately apply them in the real world.

We’ve seen alumni architect and deploy production-grade agentic systems, launch internal automation tools, redesign AI product roadmaps, and lead AI initiatives inside their companies. Many tell us that the course finally gave them the clarity and structure they were missing to build confidently with autonomous AI.

And beyond the curriculum, they become part of an exclusive community of practitioners who support each other long after the cohort ends.

If you want to join us, you can save 25% through Monday 11/24: 
https://bit.ly/4qZ8055

I’ve taught agent engineering course 9 times in 2025… but for the 10th time, I’m opening it to everyone — for free, with Co-instructor Gabriela de Queiroz

For the past 12 months, I’ve taught this material across Stanford Continuing Studies, UCLA Anderson School of Management , and Maven. 

Every cohort had brilliant people who told me the same thing: “I wish more people could access this.” So this time, we’re doing something different. 

If you’ve been curious about AI agents, overwhelmed by the noise, or unsure where to start — this bootcamp is my honest attempt to remove every barrier.

In 4 live sessions, we’ll teach you exactly how modern agents think, reason, search, retrieve, and collaborate. 

You’ll learn the same architectures and mental models we use when building real enterprise systems: 
 -- from designing your first agent, 
 -- to upgrading basic retrieval into Enterprise RAG, to 
 -- implementing reasoning with ReAct, all the way to multi-agent coordination using Google’s A2A + MCP. 

We end with one epic Demo Day, showcasing what you build.

If you’re serious about understanding where AI is actually going — beyond hype, beyond chatbots — I’d love for you to join us. I want this 10th cohort to be the most inclusive, the most global, and the most meaningful one we’ve ever done.

Shoutout to our amazing team: Amina Javaid Ali Shafique Jayita Chatterjee Areej Mehboob and Yousuf Alvi
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I read this last night and it resonated so much. The reality of the world we live in.

🔥 37 days to 2026. Let’s make them count. I’m opening 3 fully-free mentorship spots for those ready to accelerate.

If you’ve been trying to break into AI, product, or the new agentic era… this might be exactly what you need.

Inspired by how openly Zach Wilson shares his playbook, I’ve decided to open my own notebook to 3 motivated people from our community.

🚀 What you’ll get if selected:
✔️ 3 personal 1:1 mentorship sessions (30 min each) between now and December
 ✔️ Hands-on guidance in AI, product thinking, and agentic systems
 ✔️ Feedback tailored to your goals, projects, and growth path

✅ How to apply:
-Comment why you want this mentorship
-Share this post with your network
-Fill out the form (link in the first comment)

I’m excited to work closely with a few of you and help accelerate your journey before the year ends.
👉 Apply now — mentorship begins soon.

This Thanksgiving I did something unexpectedly rewarding, diving into an early access copy of Prof. Tom Yeh’s new book. And I’m genuinely thankful I did.

Instead of endless scrolling (as I usually do on days off), I found myself fully absorbed, page after page, in actual fundamentals.

Tom’s approach is refreshingly different.

He doesn’t skip steps, doesn’t assume you already have deep expertise, and doesn’t overwhelm you with jargon. He builds your understanding slowly, deliberately, and clearly — the way these concepts should be taught.

The biggest surprise?

My break didn’t feel productive because I powered through new topics…
It felt productive because I finally understood the ones I thought I already knew.

I kept thinking:
💡 “Oh, THAT’S what that actually means.”
💡 “Why didn’t anyone explain it like this before?”

Tom cuts out all the fluff and ego and just teaches — clean, structured explanations that make the math behind deep learning feel intuitive instead of intimidating.

If you’ve been meaning to strengthen your foundations (instead of just collecting AI buzzwords), I can’t recommend this enough. Sometimes the best way to recharge is by finally connecting the dots that have been holding you back.

📘 Check it out here:
 https://lnkd.in/gVvTN9iH

🚀 5,000+ builders have already signed up — and we start in less than 48 hours.

Two days from now, we kick off something I’ve wanted to open up for a long time:

A completely FREE Agent Engineering Bootcamp — live sessions!

Over the past year, I’ve taught this material across Stanford Continuing Studies, UCLA Anderson School of Management , and Maven. Every cohort reinforced the same realization for me:

We don’t need more demos. We need more people who actually understand how modern AI agents work.

So this time, we removed every barrier.
No paywall. No gatekeeping. No “you should already know X.”

Just learning — together.

Across 4 live sessions, Gabriela de Queiroz and I will walk through the exact systems and mental models we use when deploying agents in real organizations:

-How agents think, plan, and act

-How teams move from basic search to Enterprise RAG

-Why reasoning frameworks like ReAct matter in practice

-How multi-agent systems coordinate using A2A + MCP

This isn’t theoretical AI. It’s the engineering behind the next software layer.

If you’re curious about where Agentic AI is truly headed — and want to build, not just watch — I’d love to have you join us.

🔗 Register free: https://lnkd.in/gYPFHpWS

🎥 All sessions are live sessions, sign up today!

Grateful to my amazing team: Amina Javaid Hassan H. Yousuf Alvi Areej Mehboob Jayita Chatterjee

If you have time this week, here are 8 amazing unapologetic talks for anyone building Enterprise AI systems this year. 8 groundbreaking perspectives. 

From our Global Optimized AI Conference held last month, here are the full set of 8 recorded sessions. This includes 7 in-depth individual talks and 1 multidisciplinary panel discussion, featuring leaders who are shaping the next generation of Agentic AI systems.

If you’re looking to elevate your understanding of Agentic AI, its architectures, real-world applications, and the principles that underpin effective system design, here's a breakdown of all the talks:

1. AI for Coding by Chip Huyen
2. What’s New and What’s Next for Generative AI by Paige Bailey
3. Building Enterprise Multi-agent Communications by Jake Mannix
4. Deploying Agents in Enterprise Panel Discussion - Josh Sutton, Kanika Vats, Jake Mannix, Marcus Eagan
5. A Bold and Responsible Agentic Future by Pilar Manchón PhD. 
6. AI Knowledge Layer for Agents by Philip Rathle
7. Self Optimizing Agents for Deep Research by Jakub Zavrel
8. Security and Governance — The Achilles’ Heel of Enterprise Agentic AI by  Raja Iqbal

Each session is now part of our Official OAI Conference Talks Playlist, designed to serve as a resource for teams, leaders, and practitioners who want to learn from the people pushing the boundaries of what modern AI systems can do.

Link in comments

AI PM is all hype...

Here's the truth: to survive in today's market we have to not be a jack of all but be hands on and bring ideas to life. 

Watch as Aakash Gupta and I discuss this in detail and build prototypes in 30 minutes

Thank you for sharing Cedric Blanchard!

Lead Product Manager @Manutan | Host @Le French Product 🎙️

AI Product Management is all hype.
Actually, the data says the exact opposite.

I just watched a masterclass from Hamza Farooq (AI instructor at Stanford & UCLA), and the numbers are startling.

While general PM roles are stabilizing, demand for AI PMs is skyrocketing. The median compensation is now hitting the 90th percentile—rivaling top-tier Software Engineers in the Bay Area.

But the bar has been raised. You can't just be a "jack of all trades" anymore.
You need to know the sauce.

Here is the breakdown of how to go from Zero to AI PM in 6 months (based on Hamza’s roadmap):

1. The "No-Code" Tech Stack 
Hamza built a functioning Airbnb clone live in 30 minutes. He didn't write a line of Python. He used the "Modern AI Stack":
- Frontend: Lovable (Generative UI)
- Backend: N8N (Workflow automation)
- Brain: LLM APIs (OpenAI/Anthropic)

2. Context Engineering > Prompt Engineering 
Stop obsessing over "perfect prompts." The real money is in Context Engineering. Hamza’s formula for a smart agent:
- System Prompt (Rules)
+ User Prompt (Request)
+ Memory (Past interactions)
+ RAG (Retrieving your specific business data)

3. Understand the "Why" behind the Tech
- RAG (Retrieval Augmented Generation): It’s how you chat with your own PDFs and data.
- Fine-Tuning: It’s how you teach an AI your specific company vocabulary (task adaptation).
- Webhooks: How your AI talks to the outside world.

4. The 3-Wave Portfolio If you want to get hired, build three types of projects:
- Efficiency: Save time (e.g., a meeting summarizer).
- Quality: Better output (e.g., an AI video editor).
- Novelty: Something new (e.g., an AI that records videos for you).

The bottom line: The "Generalist PM" is fading. The "Builder PM" is taking over. 

You don't need a CS degree, but you do need to get your hands dirty.

I’m curious: Have you tried building with tools like N8N or Lovable yet? Or are you sticking to standard ChatGPT?

👇 Let me know in the comments.

We do this because this is the best thing we can do. Thank you team Maven and thank you Gabriela de Queiroz!

AI Strategy & Developer Relations ⚡ Startup Growth // Ex-Microsoft & IBM

I opened my inbox and found a message I wasn’t expecting …

"Gabriela and Hamza Farooq, you've been recognized as one of this year's top-performing instructors in Fast Track." 🏆

Honestly? I had to read it twice.

Not because I was surprised by our students' success or the incredible reviews.

But because of how far things have come — and how a hard layoff turned into something so much better. ✨

I have no words to describe it. I tell Hamza Farooq every day how I much I love teaching this course and how rewarding it has been. . ❤️

This recognition matters because it validates what we’ve built together:
 a learning experience that finally bridges the gap between AI theory and practical implementation.

What I love most about teaching is seeing students go from 

"I think I understand AI agents..." 🤔

or

"I'm not technical and I don't know if I will be able to follow" 😰

to confidently building real, production-ready systems they use at work or in their personal projects.

That's why I teach. 

Not for the recognition. 

But for that moment when someone realizes they were always capable of more than they imagined.


----------------------------------------
Maven extended their Fast Track sale for one final day, so if you’ve been thinking about joining the next cohort, this is the best moment to enroll. ⏰

This is the biggest discount they’ve ever offered!
25% OFF: https://lnkd.in/g8xCRxuy

This has been a great year for research at Traversaal.ai !

🚀 𝗢𝘂𝗿 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗜𝗺𝗽𝗮𝗰𝘁 𝟮𝟬𝟮𝟱
This year has been nothing short of extraordinary for Traversaal.ai.

Our research team continues to push the boundaries of AI, NLP, and data science, shaping the next generation of intelligent systems.
💡 𝟮𝟬𝟮𝟱 𝗛𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝘀
📚 4 Major Conference Acceptances
📑5 Published Papers
🌍 Contributions spanning AI, multilingual LLMs, benchmarking, detection, and search relevance

Here are some of our key contributions to advancing the field:
1️⃣ Data Science Task Benchmarking with Context Engineering (AACL 2025 Main Conference)
2️⃣ Improving Multilingual Capabilities with Cultural and Local Knowledge in LLMs (AACL 2025 Main Conference)
3️⃣ Robust and Fine-Grained Detection of AI-Generated Texts (Coming Soon)
4️⃣ Alif: Advancing Urdu Large Language Models via Multilingual Synthetic Data Distillation (EMNLP 2025 Workshop)
5️⃣ Query Attribute Modeling: Improving Search Relevance with Semantic Search and Metadata Filtering (ISIR-eCom 2025 with ICDM)

Every paper reflects our commitment to state-of-the-art research, real-world impact, and open collaboration.

A huge congratulations to all our researchers, collaborators, and mentors for driving this incredible momentum. 🌟

Visit https://lnkd.in/dMShUY8t for exploring our research papers.

#AI #Research #NLP #LLMs #TraversaalAI #DataScience #Innovation #EMNLP2025 #AACL2025 #ICDM2025

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The Battle

Tiffany Teasley

Hamza Farooq

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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);}Tiffany Teasley's LinkedIn Performance

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