Mark Faridani is a founder and machine learning leader with 15 years of experience building end-to-end ML systems, specializing in NLP, search, reinforcement learning and production-scale ML infrastructure. He holds an MS in Computer Science and a PhD in Operations Research from UC Berkeley with minors in ML and HCI, and spent a decade driving applied research and product ML at Microsoft and Apple before founding a stealth AI startup. Mark advises multiple AI and CV startups on reinforcement learning and automation, bridging deep research rigor with pragmatic engineering in Scala, Python, Java and large-data stacks like Hive and Cassandra. Comfortable moving systems from research to production, he also has hands-on background in metrics-driven model evaluation and human-centered ML interfaces—a thread that links his academic work at Berkeley to industry impact.
16 years of coding experience
17 years of employment as a software developer
PhD, Operations Research, PhD, Operations Research at University of California, Berkeley
Contributions:41 PRs, 46 pushes, 47 branches in 1 month
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