Rohit Jena
Deep Learning Algorithms at NVIDIA
Philadelphia, Pennsylvania, United States
Summary
🤩
Rockstar🎓
Top SchoolRohit Jena is a deep learning researcher and engineer with a decade of experience, currently building advanced algorithms at NVIDIA and completing a PhD in Computer Science at the University of Pennsylvania. His work spans multimodal RL, post-training pipelines for vision-language models, and Pareto-optimal reward modeling for large diffusion models, with results presented at WACV and a patent pending. Rohit combines strong theoretical grounding from Carnegie Mellon and IIT Bombay with hands-on systems skills in C++, Python and production ML frameworks, and has contributed to notable open-source projects like SymPy by improving symbolic set handling. He has a knack for finding “needles in haystacks,” applying signal-processing and computer-vision techniques to problems like watermark detection and robust model evaluation. Colleagues value his research-oriented temperament, collaborative drive, and ability to translate complex algorithms into scalable, product-ready solutions.
10 years of coding experience
7 years of employment as a software developer
D.A.V Public School , Unit 8Indian Institute of Technology BombayMaster of Science - MS, Robotics, Master of Science - MS, Robotics at Carnegie Mellon UniversityDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Pennsylvania
Github Skills (17)
computer-algebra10
opencv10
python10
image-processing10
sympy10
mathematics10
set-theory10
math10
numpy10
computer-algebra-system10
testing9
computer-vision9
data-structures8
data-structure8
algorithms8
Programming languages (9)
Github contributions (5)
rohitrango/automatic-watermark-detection
Sep 2017 - Nov 2017
Project for Digital Image Processing
Role in this project:
Data Scientist
Data ScientistContributions:11 commits, 10 pushes, 8 comments in 2 months
Contributions summary:Rohit primarily focused on developing a watermark detection system within a digital image processing project. Their contributions involved implementing image processing algorithms for watermark estimation, reconstruction, and detection. They experimented with different techniques, including Poisson reconstruction and closed-form matting for refining the watermark removal process.
image-processingpythonwatermark-detectionwatermarkimage-matting
sympy/sympy
Oct 2016 - Oct 2017
A computer algebra system written in pure Python
Role in this project:Backend Developer
Backend DeveloperContributions:24 commits, 10 PRs, 90 comments in 1 year
Contributions summary:Rohit primarily contributed to the `sympy/sympy` repository, a computer algebra system, by fixing and updating the `fancysets` module. Their work involved modifying the `_contains` function in several set classes to handle comparisons with special sets and non-expression objects. Furthermore, the user implemented support for symbols and performed refactoring to improve code efficiency and correctness, including added tests. These changes directly impact the system's ability to handle and evaluate mathematical expressions involving sets.
computer-algebra-systempythonmathcomputer-algebrascience
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