Sujee presenting to an audience at QCon

I give practical, developer-focused talks, workshops, and technical training on LLMs, open models, coding agents, AI infrastructure, developer tooling, open-source AI, and physical AI.

My sessions combine live demos, code, benchmarks, and lessons learned from building with emerging AI technologies.

I also run hands-on workshops where attendees build and experiment alongside me.

I’ve presented at AI Engineer World’s Fair, PyData, AWS re:Invent, ODSC, Tech Equity AI Summit, and ClawCamp.

⭐ Selected Speaking

PyData London 2026

PyData London 2026

Using open models with coding agents.


London • Conference talk
AI Summit NYC 2025

AI Summit NYC 2025

Post Training Open LLMs for Production


NYC • Conference talk
AI Engineer Fair 2026

AI Engineer Fair 2026

Engineering Open Models for Production.


San Francisco • Conference talk

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⭐ Workshops & Training

Hands-on technical training for developers, with open-source tools and practical examples to keep building after the session.

Tech Equity AI Summit 2025

Tech Equity AI Summit 2025

Chat with your website using Allycat & open stack.


Sunnyvale, CA • Workshop
QCON SF 2025

QCON SF 2025

Implement a RAG pipeline using open stack.


San Francisco • Workshop

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Speaking Highlights


See the events I’ve taken part in →


Speaker Info

Sessionize • LinkedIn • GitHub

Bio

Sujee Maniyam is an AI developer advocate at Nebius and a longtime software engineer with a background in AI, data infrastructure and cloud computing.

He focuses on LLMs, open models, coding agents, developer tooling and open-source AI and physical AI.

Sujee is passionate about helping developers build with emerging technologies. He is a frequent speaker at conferences and developer events. He is also an active open-source contributor.

You can find his work here: sujee.dev   •   github.com/sujee   •   LinkedIn   •   @sujee_dev   •   sujee.dev on Bluesky


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Looking for a practical AI talk, a hands-on developer workshop, or technical training for your team?

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