Iman Hosseini is a Senior Software Engineer specializing in ML and HPC compilers, currently optimizing Gemini training and inference on TPU fleets at Google Research. With a decade of experience and a rare blend of physics and computer engineering degrees from Sharif and an MSc from NYU, he has a deep history of making GPUs and TPUs "go brrr"—from early GPU programming in middle school to production-scale compiler work at NVIDIA and Google. He brings proven impact in performance engineering, tooling, and triage, having delivered cross-cutting compiler optimizations and fine-grained performance tracking used across teams. A competitive problem-solver—gold medalist in the Iranian Physics Olympiad and a finalist team captain at DEFCON CTF—he combines low-level systems rigor with adversarial thinking. Colleagues know him for squeezing extra flops out of hardware and for a positivist, curiosity-driven approach to hard systems problems.
11 years of coding experience
9 years of employment as a software developer
PhD, Computer Science, PhD, Computer Science at NYU Tandon School of Engineering
Bachelor of Science - BS, Physics, Bachelor of Science - BS, Physics at Sharif University of Technology
Contributions:29 commits, 2 PRs, 14 pushes in 2 years 7 months
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