Anish Gupta is a Member of Technical Staff at AMD with eight years of experience building compilers and machine learning frameworks for heterogeneous accelerators. He combines modern C/C++ and Python expertise with deep knowledge of computer architecture, having enabled ML compiler toolchains and high-speed MAC unit designs across 7nm and 14nm flows. His background spans chip synthesis and optimization at Synopsys, hands-on accelerator development at GLOBALFOUNDRIES, and production backend systems in Java, reflecting a rare full-stack exposure from RTL to compiler stacks. A University of Minnesota MS in Electrical Engineering grounds his work in rigorous research while his career shows a pattern of shipping pragmatic, performance-sensitive solutions. Always learning and building, he blends systems-level rigor with a maker’s curiosity that surfaces in cross-domain contributions to ML/AI tooling and accelerator integration.
8 years of coding experience
6 years of employment as a software developer
Bachelor of Engineering (B.E.), Electronics, 8.19, Bachelor of Engineering (B.E.), Electronics, 8.19 at University of Mumbai
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