senior mobile engineer / ai systems

Eight years shipping enterprise Android.
Now building the AI systems on top of it.

Most engineers entering AI are starting from zero on the parts I already know cold: production constraints, latency budgets, shipping to real devices at scale. I'm building a portfolio at the seam between the two — where on-device inference, agent tooling, and mobile architecture are the same problem.

See the work →

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the build, in sequence

  1. 01

    MCP Server for Android Tooling

    Tools any AI agent can use to build, deploy, and visually verify Android apps.

    durable skill — tool design for agents

    coming soon
  2. 02

    Hybrid On-Device / Cloud Inference

    Measured routing between a local model and the cloud. The benchmark is the deliverable.

    durable skill — cost / latency / quality tradeoffs

    coming soon
  3. 03

    Agentic Logistics System

    A production agent monitoring shipments, explaining anomalies, acting behind approval.

    durable skill — the full build → evaluate → observe loop

    coming soon