Omkar Prabhu
Staff AI Engineer at Rapid7
Mumbai, Maharashtra, India
Summary
🤩
Rockstar🎓
Top SchoolOmkar Prabhu is a Staff AI Engineer with eight years of experience specializing at the intersection of machine learning and distributed systems, currently based in Mumbai and now driving AI work at Rapid7. He progressed through hands-on engineering roles at Cogito and Verint, shipping production ML and software systems and earning recognition as a winner of Facebook AI’s PyTorch Global Summer Hackathon 2020. Omkar contributes to open source with practical ML tooling—his pytorch-cpp repository ports PyTorch tutorials to C++ and includes bug fixes to training loops, reflecting a focus on making ML more accessible and production-ready. Known for blending low-level implementation skill with systems thinking, he has a track record of stabilizing model training and optimization in real-world codebases.
8 years of coding experience
6 years of employment as a software developer
Bachelor of Engineering - BE, Computer Science, Bachelor of Engineering - BE, Computer Science at SIES Graduate School Of TechnologySSC, 91%, SSC, 91% at B. R. Madhavi English SchoolHSC, Computer Science, 88%, HSC, Computer Science, 88% at K J Somaiya College of Science & Commerce Vidyanagar Vidyavihar Mumbai 400 077
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (11)
neural-network10
user-manual10
pytorch10
machine-learning10
c-language10
tensor10
cprogramming-language10
autograd10
linear-regression9
logistic-regression9
artificial-intelligence9
Programming languages (12)
Github contributions (5)
prabhuomkar/pytorch-cpp
Jan 2019 - Sep 2022
C++ Implementation of PyTorch Tutorials for Everyone
Role in this project:
ML Engineer
ML EngineerContributions:9 releases, 21 reviews, 70 commits in 3 years 9 months
Contributions summary:Omkar primarily contributed to the development of PyTorch tutorials within the repository. Their work included implementing and refining basic autograd examples, adding linear and logistic regression tutorials, and integrating a feedforward neural network example. The user also addressed issues related to the model training and optimization processes, particularly by fixing a bug related to SGD.
visual-recognitioncolabtensorslanguage-modelconvolutional-neural-network
prabhuomkar/arxiv-graphql
Oct 2019 - Jun 2020
🧾 arXiv GraphQL API
Contributions:21 commits, 6 PRs, 12 pushes in 7 months
apiarxivgraphql-apinodejsgraphql
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.