Summary
Patrick Lee is a Senior Software Engineer with 11 years of experience building scalable growth and experimentation systems, now at Datadog in New York. He led rapid team expansion and engineering processes at Noom, growing the growth org from 3 to 30 engineers while architecting high-throughput experimentation platforms that enabled up to 30 tests per week. At Clockwise he pioneered an LLM-driven DSL workflow—combining RAG, prompt engineering, synthetic fine-tuning, custom interpreters, and AWS inference—to accelerate and stabilize model-driven code generation with a 3.5x inference speed boost over GPT-4 Turbo. His background spans product-facing frontend work, backend systems, and founding a markdown-first note app, reflecting a blend of product sensibility and infrastructure rigor. Comfortable scaling teams and systems alike, he focuses on measurable velocity improvements and robust evaluation pipelines to prevent regressions in ML-driven products. He holds a BA in Economics-Mathematics from Columbia and brings an unusual combination of analytics, product leadership, and hands-on ML deployment experience.
11 years of coding experience
11 years of employment as a software developer
Bachelor of Arts (B.A.) Economics-Mathematics, Bachelor of Arts (B.A.) Economics-Mathematics at Columbia University
Associates Business Management, Associates Business Management at Borough of Manhattan Community College