Darshan Sanghani is a technical lead focused on AI efficiency with 13 years of experience building hyperscale infrastructure and AI platforms. At Meta he leads fleet-wide PyTorch profiling and observability for a GPU fleet consuming ~14 million GPU hours/day, where single-percent utilization gains translate to >$125M in annual savings. He previously architected core cloud and networking services at Oracle and led Medallia’s cloud strategy through IPO and FedRAMP certification, unlocking regulated government business. His expertise spans distributed systems, cost optimization, GPU/kernel performance, and driving XFN initiatives that turn low-level telemetry into business impact. Known for shipping foundational cloud primitives (e.g., OCI Service Gateway, private endpoints, multi-tenant VMware-as-a-Service) and for innovative container networking work, he blends deep technical ownership with strategic influence. Based in the Bay Area and trained at UIUC and BITS Pilani, he combines startup builder instincts with enterprise-grade delivery.
13 years of coding experience
9 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and Science
High School Diploma (Science) High School, High School Diploma (Science) High School at Thakur College of Science and Commerce
B.S Computer Science, B.S Computer Science at University of Illinois Urbana-Champaign
My GitHub page, the source for darshansanghani.com, uses backbone, underscore, bootstrap and my love.
Contributions:4 pushes in 6 years 9 months
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Darshan Sanghani - Technical Lead, AI Efficiency at Meta