Rohan
Student
Lex 23'
Summary
🤩
RockstarRohan 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.
9 years of coding experience
Github Skills (6)
pytorch10
python10
optimization9
robotics9
pose-estimation8
controlling8
Programming languages (4)
Github contributions (5)
pypose/pypose
Aug 2022 - Dec 2022
A library for differentiable robotics.
Role in this project:
ML Engineer
ML EngineerContributions: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.
pytorchroboticspythongeometric-deep-learningcomputer-graphics
rohan2017/14039_Codebase
Feb 2020 - Mar 2021
FTC SDK
Contributions:19 commits, 35 pushes in 1 year 1 month
sdkftcftc-sdk
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