Vilas Bhat is a systems-focused software engineer with nine years of experience building cloud infrastructure, distributed systems, and high-performance compute at companies including Google DeepMind, Google, Twitter, Samsung, and Intuit. Currently at DeepMind working on Gemini model training performance, he previously optimized LLM training on TPUs and contributed to Android systems, Anthos, and Kubernetes-based compute infrastructure. A Carnegie Mellon MCDS Systems student, he blends rigorous academic foundations with hands-on production experience in GPU/TPU performance tuning and hybrid cloud services. Notably, his early work achieved a 230x GPU speedup and he has a track record of shipping core components that unblock cross-team releases. Open to connections, he brings both systems-level depth and a collaborative, delivery-oriented mindset.
9 years of coding experience
5 years of employment as a software developer
Senior Secondary School, Senior Secondary School at Lourdes Central School, Mangalore
Master of Computational Data Science Systems Concentration, Master of Computational Data Science Systems Concentration at Carnegie Mellon University
Bachelor of Technology (B.Tech.) Computer Science, Bachelor of Technology (B.Tech.) Computer Science at National Institute of Technology Karnataka
Contributions:5 commits, 1 push in 1 year 2 months
round-robinrobinschedulerns-3discipline
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