I’m a machine learning engineer with nearly ten years of hands-on experience and a Ph.D. in Statistics. I build end-to-end systems that combine solid modeling with reliable data and infrastructure — and make sure they work at scale. Lately, I’ve been working on agentic workflows, RAG systems, and spatiotemporal modeling, blending practical engineering with research. My current focus includes conditional diffusion models and spatiotemporal learning methods, aiming to make complex models both more useful and more interpretable.