I'm an AI and machine learning engineer with experience building ML systems end to end, from experimentation and model development to deployment and tooling. My background in explainable AI and interpretability research gives me a strong understanding of how models work internally, which I bring into practical engineering work on reliable, scalable, and maintainable AI systems.

I'm particularly interested in bridging the gap between research and production: building useful systems, designing solid software around them, and understanding model behavior deeply enough to improve, evaluate, and deploy them with confidence.