Sumit Rangwala is a Principal Staff Engineer at LinkedIn with 20+ years building distributed systems, AI infrastructure, and large-scale recommender systems, currently focused on LLM systems engineering and agentic AI products. He has a proven track record of surfacing company-scale problems, securing executive sponsorship, and delivering cross-organizational solutions—most recently unblocking a struggling third-party data integration and leading LinkedIn’s first generative recommender with $25M+ annualized impact. His work spans real-time graph recommendation engines, unified offline-to-online data stores used by 100+ models, and company-wide data contracts that prevented hundreds of incidents and saved tens of millions annually. Known for restructuring teams and renegotiating scope to accelerate delivery, he blends deep systems design (memory-managed, high-QPS graph walk engines) with pragmatic product thinking. He holds a PhD in computer science and brings a rare combination of academic rigor and hands-on production leadership across AI, cloud, and IoT domains. Based in San Francisco, he frequently operates at the intersection of technical execution and organizational change to make large AI systems reliably ship.
11 years of coding experience
12 years of employment as a software developer
Ph. D., Computer Science, Ph. D., Computer Science at University of Southern California
Bachelors of Engineering, Computer Engineering, Bachelors of Engineering, Computer Engineering at Shri Govindram Seksaria Institute of Technology and Science
Contributions:5 commits, 2 PRs, 36 pushes in 7 months
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Sumit Rangwala - Principal Staff Engineer - Core AI at LinkedIn