Milind Shah is a pragmatic engineering leader and co-founder currently serving as CTO of Pipelines, building tooling for AI R&D after eight years of full‑stack and applied AI experience. He has driven measurable impact at scale—from architecting data pipelines that grew Mercor’s coding‑agent dataset business to eight‑figure revenue to rebuilding DoorDash’s Global Changelog and cutting load times from 10+ seconds to ~1s. Comfortable across product lifecycle and stack (React, Python/Flask, Node, Go, Kubernetes), he blends UX-driven design (Figma-led mockups and A/B testing) with rigorous backend architecture to improve developer and customer satisfaction. At Adobe he led orgwide UI processes and built a Chromium extension that surfaces cloud spend insights across vendor portals, demonstrating a knack for turning complex cloud data into usable UX. He pairs startup grit with enterprise delivery discipline, and uniquely combines RL environment design for code evaluation with hands-on system ownership. Based in San Francisco, he brings a track record of shipping high‑impact, production-grade AI and developer tools.
8 years of coding experience
6 years of employment as a software developer
Class 10 IGCSE, Class 10 IGCSE at Podar International School
Master of Science - MS Computer Science, Master of Science - MS Computer Science at University of Massachusetts Amherst
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