Skills

Capabilities, practice areas, and supporting evidence.

  1. 01
    ·personal

    Technical leadership and integration

    Owning ambiguous integration surfaces, aligning teams around workable contracts, and keeping systems coherent through pivots.

  2. 02
    ·writing

    Research and technical writing

    Turning open technical questions into structured arguments, papers, notes, and implementation-oriented explanations.

  3. 03
    ·building

    Rapid prototyping and hardware thinking

    Moving between software, mechanisms, fabrication constraints, and experimental prototypes without treating them as separate worlds.

  4. 04
    ·building

    Mobile and on-device ML

    Shipping model-backed mobile experiences, including on-device inference and mobile-facing AI infrastructure.

  5. 05
    ·building

    Full-stack product engineering

    Building usable products end to end, from data model and API through frontend, deployment, and iteration.

  6. 06
    ·building

    AI systems engineering

    Designing and shipping AI systems that connect models, tools, memory, product workflows, and evaluation loops.