Saubhik Mukherjee is an ML compiler engineer with 9 years of experience building high-performance systems that bridge research and production. Currently at SambaNova he develops an embedded DSL in C++ on top of MLIR to implement custom ML kernels for a proprietary CGRA, reflecting deep expertise in compilers, domain-specific languages, and hardware-aware optimization. His background includes kernel-bypass networking work on QUIC during graduate research at Georgia Tech and open-source Linux kernel contributions through Google Summer of Code, showing a strong systems and networking pedigree. Earlier roles span production ML platforms and lead engineering for financial prediction systems, plus applied optimization and game-theoretic pricing work in industry. He holds degrees from Chennai Mathematical Institute, the Indian Statistical Institute, and a 4.0 MS in Computer Science from Georgia Tech, combining rigorous mathematical training with practical software delivery. Notably, he pairs low-level systems craftsmanship with ML model deployment experience—making him effective at turning advanced compiler and architecture ideas into production-ready AI kernels.
9 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Computer Science, 4.0, Master of Science - MS, Computer Science, 4.0 at Georgia Institute of Technology
Bachelor of Science - BS, Mathematics and Computer Science, Bachelor of Science - BS, Mathematics and Computer Science at Chennai Mathematical Institute
Master of Science - MS, Quantitative Economics, Master of Science - MS, Quantitative Economics at Indian Statistical Institute, Kolkata
Interference-aware CPU scheduling that enables performance isolation and high CPU utilization for datacenter servers
Contributions:3 releases, 1 review, 9 PRs in 8 months
cpuisolationperf5gscheduling
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Saubhik Mukherjee - ML Compiler Engineer at SambaNova Systems