Available for AI/ML & GenAI roles
I build production-ready intelligent systems.
Senior AI/ML Engineer working on Generative AI, RAG, agentic workflows and end-to-end MLOps — mostly on Azure, mostly for regulated industries where an answer has to be traceable and a system has to survive an audit.
01About
Engineering intelligence, not just models
What I'm working through right now
02Experience
Six years of shipping
Each entry below is written as problem → solution → stack → impact, because that's the only shape in which engineering work means anything.
03Skills
The working set
Grouped by the job they do, not by how impressive the logo looks.
04Projects
Systems, end to end
Open a card to see the architecture, the parts that were genuinely hard, and what came out the other side.
05Architecture
How I build AI systems
Five layers, top to bottom. Select any component to see what it does and why it sits where it does.
06Approach
Five things I keep coming back to
07Playground
Three systems you can poke at
Small, honest demonstrations. They run on sample data in your browser — no live models behind them — but the steps and the numbers they surface are the ones I'd instrument in production.
08Open source
Building in public
Pulled live from the GitHub API when you load the page — no cached screenshots, no invented numbers.
09Credentials
Certifications & education
Want the detailed version?
Two pages: full experience, the complete technical stack, and the AI system design work that doesn't fit on a landing page.
10Contact
Let's build something intelligent
Have an AI problem worth solving? Tell me what's actually in the way — that's usually the interesting part.