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Work experience

May 2026 — Aug 2026 · Remote

Posit PBC

Software Engineering Intern

Built a feedback-memory MCP server and an agent harness that raised great_tables generation accuracy from 15.8% to 87.9%.

MCPAgent SDKEvaluationPython

Highlights

  1. 01

    Built Whetstone, a Python FastMCP feedback-memory server achieving a 97.4% stick rate across 38 preferences and consistent application within 2 runs by reinforcing corrections and promoting recurring feedback after 4 occurrences.

  2. 02

    Created GTskill, a Claude Agent SDK harness benchmarking 4 skills against ground-truth tables, raising great_tables generation accuracy from 15.8% to 87.9% for approximately $0.08 per invocation with deterministic checks and a grounded LLM judge.