From operating problem to production system

Hands-on technical operator for healthcare companies, investors, and technical teams

Healthcare companies have valuable opportunities buried in manual processes, fragmented data, and systems that no longer fit the work. I help leaders decide whether to build, buy, integrate, or automate, then set the technical direction and carry the solution into production. I work through an existing technical team when that is the best path, or personally build the critical first system and scale it with the company when speed and ambiguity require it.

Selected experience

12 years building and leading production systems across early-stage startups, growth-stage healthcare companies, and Meta.

  • Zus Health

    Built core patient-data infrastructure spanning normalization, deduplication, and entity resolution, unifying millions of records from thousands of healthcare sources.

  • Omada Health

    Built the MLOps platform, standardizing model development, batch and real-time inference, evaluation, and production monitoring.

  • Meta

    Automated model release for a neural-input wristband, cutting roughly two weeks of intensive engineering work to a few days of light supervision.

  • HealthLeap

    Built a testing framework and stabilized core data and ML pipelines for reliable production integrations with health-system Epic environments.

Ways to work together

Where I create the most value

  • An investor or executive sees a material opportunity, but no technical owner can drive it.
  • An existing product or engineering team needs focused leadership and implementation capacity for work that crosses its normal roadmap.
  • A valuable workflow spans operators, data, vendors, and internal systems, and the missing value lies between the existing owners and tools.

Modern implementation

I use modern AI tools across research, prototyping, coding, testing, integration, and operations. That gives me the leverage to investigate unfamiliar systems and implement with unusual breadth and speed. Where the larger opportunity is enabling an internal team, I also build the tools, evaluation systems, and workflows that make that advantage repeatable. Across a portfolio, I separate company-specific workflows from reusable patterns so each successful deployment makes the next one faster.

Speed is useful only when paired with production judgment. I build around durable data models, explicit failure boundaries, traceability, security, controlled releases, meaningful telemetry, rollback, and clear ownership.

Availability

Available for focused implementation projects and longer embedded mandates. Based in the Bay Area and willing to work onsite and travel regularly.