About

I work at the intersection of AI safety, applied AI, and reliable systems engineering. My interests include trustworthy AI systems, evaluation, certified robustness, reproducibility, and the practical engineering needed to make research usable in real workflows.

Software Engineering

My software engineering work is guided by the idea that good software has to do more than work once. It should remain understandable, reliable, and changeable over time. I am especially interested in systems where quality comes from clean boundaries, dependable data flow, useful tests, and decisions that other people can follow.

Research Engineering

Research engineering is the part of my profile that connects research and implementation. I am interested in work where software supports open questions, changing hypotheses, reproducible workflows, and scientific teams that need tools they can trust.

This site is meant to stay useful and simple: research notes, project summaries, engineering write-ups, and blog posts that are worth writing down because I expect to return to them later.