Shvetank Prakash
Research Assistant at Harvard University
Cambridge, Massachusetts, United States
Summary
🤩
Rockstar🎓
Top SchoolShvetank Prakash is a PhD candidate in Computer Science at Harvard with seven years of experience blending hardware-software co-design, tinyML, and computer architecture research into real-world silicon and FPGA tape-outs. He has interned twice at NVIDIA and conducted impactful research at Google on ultra-low-power ML acceleration, contributing full-stack workshops and tools aimed at democratizing ASIC and flexible-electronics design. At Pragmatic he moved open-source chip flows toward production, leading RTL, standard-cell, and physical implementation work with hands-on post-fabrication testing. A former NCAA student-athlete and Columbia engineering graduate, he pairs disciplined teamwork with a track record of shipping scalable systems at Amazon and shipping research-driven silicon prototypes. He’s passionate about using technology to improve lives and unusually bridges end-to-end—from algorithm and architecture exploration to fabrication and probe-station validation.
7 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Harvard UniversityBachelor of Science - BS, Computer Engineering, Bachelor of Science - BS, Computer Engineering at Columbia UniversityMathematics and Computer Science, Mathematics and Computer Science at Lewis & Clark College
Github Skills (57)
playing10
tflm10
tensorflow-lite10
tflite10
opcodes10
verilog9
tuning-parameters9
tensorflow9
tcl8
machine-learning8
eda8
evolutionary-algorithms8
vlsi8
foundry7
google7
Programming languages (9)
Github contributions (5)
harvard-edge/TinyML-Footprint
Aug 2022 - Dec 2022
Contributions:24 commits, 24 pushes, 1 branch in 4 months
atugangui/Apocalypse47
Apr 2019 - May 2019
Contributions:12 PRs, 41 pushes, 2 branches in 9 days
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