Backend & AI Engineer — building the infrastructure that makes LLMs actually work in production
Over the past 2–3 years I've worked across the stack — data science, machine learning, backend engineering, frontend, and a bit of DevOps — with a growing focus on production AI systems, and building for the good.
I'm most excited about problems at the intersection of reliability and intelligence, the places where making AI systems actually trustworthy requires both systems thinking and ML depth. My main focus is finding opportunities in responsible AI, AI in healthcare, and AI for public policy.