Skills
Capabilities, practice areas, and supporting evidence.
- ·personal
Technical leadership and integration
Owning ambiguous integration surfaces, aligning teams around workable contracts, and keeping systems coherent through pivots.
- ·writing
Research and technical writing
Turning open technical questions into structured arguments, papers, notes, and implementation-oriented explanations.
- ·building
Rapid prototyping and hardware thinking
Moving between software, mechanisms, fabrication constraints, and experimental prototypes without treating them as separate worlds.
- ·building
Mobile and on-device ML
Shipping model-backed mobile experiences, including on-device inference and mobile-facing AI infrastructure.
- ·building
Full-stack product engineering
Building usable products end to end, from data model and API through frontend, deployment, and iteration.
- ·building
AI systems engineering
Designing and shipping AI systems that connect models, tools, memory, product workflows, and evaluation loops.