Physics-grounded modeling and AI for real-world systems
I integrate expertise in physics, systems analysis, and data-driven engineering to model and optimize complex systems. My experience spans basic and applied research in diffractive and quantum optics, development of traditional and AI/ML-based models for semiconductor metrology and microscopy at ASML, and AI-driven reliability modeling at Microsoft Azure. I bring technical rigor and cross-disciplinary fluency to bridge scientific insight with operational performance.
Technical first; product fluency when it accelerates impact.