Summary
Sagnik Basu is a Software Engineer with 10 years of experience specializing in accelerating data-centric workloads on heterogeneous systems, currently based in Austin, Texas. He has driven performance-focused work at Samsung Research (India) optimizing data movement in DNN computation graphs and at AMD Research in parallel and distributed computing. His technical interests span heterogeneous systems architecture, optimizing compilers (including MLIR), GPU software, and distributed computing, with a concise GitHub focus on GPU software. Sagnik combines hands-on systems engineering with research-informed approaches, translating compiler and runtime insights into practical performance gains. Notably, he bridges hardware-aware optimization and compiler toolchains to squeeze efficiency from complex ML workloads. He holds advanced engineering training from the University of Wisconsin–Madison and brings a mix of industry research and applied development experience.
10 years of coding experience
University of Wisconsin-Madison
Hindi, English