Principal Technical Product Manager, ML & Data Infrastructure

Technical product manager for ML and data infrastructure (B2C, B2B, and deep tech) with a PhD in theoretical physics. Owns problem discovery, architecture trade-offs, and end-to-end delivery with measured outcomes ($110M+ impact). Has ~15 years building data/ML infrastructure (cloud and air-gapped on-prem). Built and operated ML platforms and streaming systems in environments exceeding ~$5B+ in annual transaction volume. Former engineer and still hands-on; active open-source contributor (Zoose Quantum, IBM Qiskit ecosystem). Owned delivery of a large physics-based foundation model trained over multi-month HPC runs from lab to production. Trained and deployed large-scale production models; built on-device (edge) inference prototypes. Earlier work includes database/query optimization.