Siddhisanket Raskar is a Machine Learning Engineer with a decade of experience at the confluence of ML, high-performance computing, and computer architecture, currently driving research and development in Micron’s Pathfinding Group. His work spans agentic AI, LLM training/inference benchmarking, and evaluating emerging AI accelerators for scientific workloads, informed by hands-on roles at national labs including Argonne and PNNL. He brings deep systems expertise—compilers, runtimes, dataflow models and parallel systems—combined with practical HPC deployment experience from supporting research communities and supercomputer early science programs. Siddhisanket’s PhD-trained background and history of optimizing ML frameworks for fine-grained parallelism give him a rare ability to translate architectural tradeoffs into measurable performance gains for scientific ML. An active practitioner of sysml and dataflow-driven designs, he blends experimental research with production-minded benchmarking to assess next-generation AI hardware for real-world science applications.
10 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (PhD) Computer Engineering, Doctor of Philosophy (PhD) Computer Engineering at University of Delaware
Bachelor's Degree Computer Engineering, Bachelor's Degree Computer Engineering at Savitribai Phule Pune University
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Siddhisanket Raskar - Machine Learning Engineer at Micron Technology