Rohan R

Staff Solutions Architect, Enterprise Generative AI

Mountain View, California, United States
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts

Summary

🤩
Rockstar
🎓
Top School
Rohan is a motivated student with nine years of hands-on experience building robotics and math-focused software, particularly in probabilistic state estimation. He has made substantive open-source contributions as an ML engineer to pypose, implementing and refining an Extended Kalman Filter with system-noise modeling, state-transition and observation functions, and careful linearization reference handling. Comfortable with the mathematical and implementation details of differentiable robotics libraries, he balances rigorous algorithmic thinking with code maintainability. Based in Lex ’23, he brings a long-standing practical commitment to robotics tooling that goes beyond coursework, showing early specialization in sensor fusion and estimation.
code9 years of coding experience
job8 years of employment as a software developer
bookIndian Institute of Technology Madras
bookMaster of Science - MS Robotic Systems Development, Master of Science - MS Robotic Systems Development at Carnegie Mellon University School of Computer Science
languagesEnglish, Hindi, Konkani
github-logo-circle

Github Skills (5)

pytorch10
python10
optimization9
robotics9
pose-estimation8

Programming languages (5)

TypeScriptJavaJavaScriptHTMLPython

Github contributions (5)

github-logo-circle
pypose/pypose

Aug 2022 - Dec 2022

A library for differentiable robotics on manifolds.
Role in this project:
userML Engineer
Contributions:14 commits, 9 PRs, 11 pushes in 4 months
Contributions summary:Rohan contributed significantly to the implementation of an Extended Kalman Filter (EKF) within the `pypose/pypose` repository. Their work involved adding system models with noise, defining state transition and observation functions, and setting up reference points for linearization. The commits demonstrate a focus on the core functionality of the EKF, including the necessary mathematical operations and implementation details. The user also performed EKF cleanup and formatting, demonstrating an understanding of code structure and maintainability.
roboticspytorchpythonlie-groupoptimization
rohan2017/14039_Codebase

Feb 2020 - Mar 2021

FTC SDK
Contributions:19 commits, 35 pushes in 1 year 1 month
sdkftcftc-sdk
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.
Request Free Trial