Summary
Rishabh Shah is a Full Stack Software Engineer based in San Francisco with five years of experience building production AI and cloud-native systems for startups and scale-ups. He’s been a founding engineer multiple times, helping early teams ship core platforms—from self-healing web extraction pipelines and GPT integrations to billing, cost ingestion, and talent platform features that supported acquisitions. His recent work focuses on applied AI at Mercor after Sepal AI was acquired, reflecting a pattern of shipping productized ML tooling and enterprise-grade automation. Comfortable across Python, Playwright, GCP, and full-stack stacks, he pairs hands-on implementation with product-minded system design. Early experience in semiconductor validation and polymer research hints at a strong grounding in rigorous engineering and experimentation.
5 years of coding experience
7 years of employment as a software developer
Bachelor's degree, Computer Science & Mechanical Engineering, Bachelor's degree, Computer Science & Mechanical Engineering at The University of Texas at Austin
Westwood High School