About

I'm Shakil, a systems thinker and quantitative builder who turns open-ended problems into working, tested, reproducible software.

I independently design and build empirical research systems — statistical models, reinforcement-learning engines, reproducible data pipelines, and AI agent infrastructure. I don't fully trust a claim that can't be verified by actually running it, especially claims I make about my own work. Someone has to keep me honest, so I emphasize rigorous testing and verifiable outcomes.

I am a daily operator of AI coding agents, and I reason carefully about where autonomous AI should and should not be trusted. I encode that judgment into my systems as review gates, strict governance, and safety guardrails. Give one agent a task and it can go off the rails; coordinate ten badly and you have ten ways to fail. I build orchestration to solve that.

Florida is home. I have a complicated relationship with terminals, and if a result looks too clean — that is suspect. If that sounds like your kind of person, the links up top go straight to my GitHub, LinkedIn, and inbox.