Nipun Ramakrishnan
Software Engineer, Quantitative Strategies
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolNipun Ramakrishnan is a software engineer with a decade of experience building production systems in ML-heavy domains, currently working in quantitative strategies at D. E. Shaw after roles at Amazon Lab126. A UC Berkeley EECS graduate and awarded instructor, he blends strong research foundations in deep learning and signal processing with hands-on engineering for products like FireOS and Alexa. His background spans applied ML—calibrating vision models for autonomous driving, forecasting network traffic with RNNs, and deep learning for wireless channels—while consistently shipping scalable software at large organizations. Nipun also creates educational content (creator of Reducible) and prioritizes opportunities that stretch his technical breadth, from graphics to systems, reflecting a continual drive to learn and teach.
11 years of coding experience
7 years of employment as a software developer
Bachelor’s Degree Electrical Engineering and Computer Sciences, Bachelor’s Degree Electrical Engineering and Computer Sciences at University of California, Berkeley
Github Skills (7)
youtube10
data-context7
javascript2
pytorch1
computer-vision1
deep-learning1
launchpad1
Programming languages (5)
Github contributions (5)
nipunramk/Reducible
Dec 2020 - Jul 2022
Repository containing all code for the videos on the Reducible YouTube channel
Contributions:6 commits, 21 pushes, 1 branch in 1 year 8 months
youtube
nipunramk/Project-Musecage
Sep 2017 - Dec 2017
Contributions:7 PRs, 12 pushes, 2 branches in 2 months
learning-projectmachine-learningaudioretrievalinformation-retrieval
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