Summary
Dharmesh Kakadia is a founder and engineering leader with 13 years of experience building ML, data and distributed systems from research prototype to production at scale. He has led ML infrastructure and training teams at startups and large companies (Nuro, Zoox, Microsoft) and now runs MixTrain to bring post-training robustness to practitioners. With a strong research background—13 publications, a book, a patent and 400+ citations—he blends academic rigor with product-first execution. He’s an active open-source contributor for over eight years (900+ GitHub stars) across projects like Kubernetes, Mesos, Presto and Hadoop, and frequently shares learnings via talks, blogs and mentorship. Notably, he built high-throughput content-safety services serving 20M+ requests/day at Microsoft and architected ML/data platforms that standardized workflows across teams. Based in San Francisco, he combines hands-on engineering, team leadership and a passion for community-driven tooling to move ML from idea to reliable production.
13 years of coding experience
9 years of employment as a software developer
MS Computer Science & Engineering, MS Computer Science & Engineering at International Institute of Information Technology Hyderabad (IIITH)
BE Computer Science, BE Computer Science at Dharmsinh Desai University