Shubham is a Senior Software Engineer based in Cambridge with five years of experience focused on machine learning compiler technology at Arm, progressing from graduate rotations to his current role. He has hands-on expertise optimizing inference for 8-bit quantized CNNs on Arm Ethos-N NPUs and applying TensorFlow Model Optimization techniques to make ML models production-ready. His background includes industrial research with Amazon on extreme classification and an algorithmic research internship on faster graph matching, reflecting a blend of applied ML, compiler work, and algorithmic rigor. Comfortable moving between low-level driver stacks and higher-level model optimizations, he brings practical experience turning research ideas into performant deployment paths for edge ML.
5 years of coding experience
3 years of employment as a software developer
Master of Science - MSc Data Science, Master of Science - MSc Data Science at The University of Edinburgh
High School, High School at St. Johns School
Bachelor of Technology - BTech Information Technology, Bachelor of Technology - BTech Information Technology at Vellore Institute of Technology
Secondary High School, Secondary High School at Sunbeam School Varanasi
Driver stack (including user space libraries, kernel module and firmware) for the Arm® Ethos™-N NPU
Contributions:27 commits, 1 push, 1 branch in 1 year 9 months
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