Vijay Reddi

Full Professor at Harvard University

Lexington, Massachusetts, United States
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Summary

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Rockstar
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Top School
Vijay Reddi is a Full Professor of Engineering and Applied Sciences at Harvard with a decade of academic experience building systems and leading research at top institutions including UT Austin and Harvard. He holds a PhD in Computer Science from Harvard and advanced degrees in computer engineering, blending deep theoretical grounding with practical systems expertise. His career spans faculty roles from assistant to full professor, showcasing sustained impact in teaching, mentorship, and research leadership. Based in Lexington, MA, he is known for translating complex computer-architecture and systems research into reproducible software and curricula that influence both academia and industry. Colleagues describe him as a hands-on scholar who balances rigorous publication with cultivating next-generation engineers. An often-overlooked strength is his consistent progression through academic ranks, reflecting both technical excellence and durable leadership in engineering education.
code10 years of coding experience
job13 years of employment as a software developer
bookDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Harvard University
bookBachelor's degree Computer Engineering, Bachelor's degree Computer Engineering at Santa Clara University
bookMaster's degree Computer Engineering, Master's degree Computer Engineering at University of Colorado Boulder
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Github Skills (43)

benchmark10
machine-learning10
benchmarking10
inference10
deep-learning10
deep-reinforcement-learning8
policies8
robotics8
power-systems7
quantization7
stem6
artificial-intelligence6
embedded5
fairness-ml5
reinforcement-learning5

Programming languages (6)

JavaC++CTeXJavaScriptPython

Github contributions (5)

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harvard-edge/cs249r_book

Sep 2023 - Apr 2025

Introduction to Machine Learning Systems
Contributions:3 releases, 66 reviews, 506 PRs in 1 year 6 months
agnusmaximus/cs249r_book

Nov 2023 - Dec 2023

Collaborative book for CS249r: Tiny Machine Learning
Contributions:13 pushes in 10 days
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