2024 — Present
Principal Engineer, AI for Quantum & Director, Quantum OS
PsiQuantum · Palo Alto, CA
- Founded and leading AI for Quantum R&D: ML-based QEC decoders, RL for adaptivity in fault-tolerant quantum computing, scientific agents for physics research, multi-agent systems for calibration, control, and operation of quantum systems.
- Building agentic discovery infrastructure for scientific AI: harnesses, trajectory capture, structured evaluation of AI-generated scientific artifacts.
- Directed Quantum OS: designed scalable control plane, fabrics, OS software for utility-scale photonic QC. Grew engineering org by 15+ ICs YoY.
2025 — Present
Independent Research & Development — AI for Science & Systems
Los Angeles, CA
- Developing architectures for AI-assisted scientific reasoning: evaluation, harnesses, provenance systems, and long-horizon agent frameworks for physics and mathematics.
- Research at the intersection of reasoning models and formal methods, targeting formalization of results and open problems in quantum information science.
- Structured representations of reasoning (typed graphs over claims, evidence, derivations, simulations, proofs) for verifiable multi-agent collaboration.
2022 — 2024
Software Engineering Manager
AWS Center for Quantum Computing · Pasadena, CA
- Led engineering and research in quantum compilers, control software/hardware, QEC frameworks, and a distributed runtime for quantum information processing systems.
- Built and mentored a team of scientists and engineers (0–30 years experience) developing scalable, fault-tolerant quantum computing systems.
2018 — 2019
Quantitative Research Engineer, BlackRock. Quantitative research and ML for systematic trading strategies.
2017
AI Software Engineer, Cogitai. Continual learning research and RL for robotics.
2016 — 2017
Senior Scientist, Areté Associates. Deep learning for computer vision and chemical detection in hyperspectral data.
2015 — 2016
Computer Scientist, Novetta. Deep learning for web-scale multimedia classification and indexing.
2013 — 2015
Research Engineer, NASA Goddard Space Flight Center. ML for multimodal geoscience and remote sensing.
2012 — 2013
Software Engineer, Oceaneering Advanced Technologies. Deep learning and computer vision for autonomous underwater robotics.
2009 — 2011
Research Assistant, University of Maryland. Scientific ML for cosmology and gravitational wave astrophysics.