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Staff Data Scientist2024 – present

GrowTherapy

AI, measurement, and marketplace intelligence in production

I build the data, evaluation, and experimentation systems that make AI and marketplace products measurable, trustworthy, and useful in production.

  • AI systems: structured LLM extraction, MCP semantic-layer integrations, LLM evals, AI workflow tooling.
  • Measurement: Statsig Warehouse-Native migration, causal inference, rollout measurement.
  • Marketplace ML: ranking, forecasting, provider quality, supply-demand, LTV, price elasticity.

Case studies

  1. 1.

    Provider Intelligence Platform

    structured LLM extraction + identity resolution + Snowflake/dbt + Prefect.

  2. 2.

    LLM Evals for Analytics Outputs

    quality, latency, structured-output validation, model-iteration checks.

  3. 3.

    Semantic Layer → Claude via MCP

    governed natural-language analytics.

  4. 4.

    Experimentation Platform Migration

    Statsig WHN, identity resolution, validation, causal measurement.

  5. 5.

    Marketplace Intelligence

    ranking, forecasting, supply-demand, provider quality.

Stack

PythonSQLdbtSnowflakePrefectStatsigMCP