S Sharan
Graduate Research Assistant
Austin, Texas, United States
Summary
🤩
Rockstar🎓
Top SchoolS Sharan is a PhD candidate in ECE at The University of Texas at Austin with eight years of research and engineering experience focused on machine learning, robotics, and privacy-preserving computation. As a graduate research assistant at SWARM-Lab and VITA-Group, he develops algorithms and systems bridging academic research and practical implementations. He contributed to OpenMined's widely used PySyft project, improving encryption workflows for secure multi-party computation and fixing critical memory leaks in AST operations. Previously a researcher at Spider R&D, he brings hands-on expertise in back-end systems, homomorphic encryption, and PyTorch integrations. Known for marrying rigorous academic work with production-minded code, he often surfaces subtle reliability fixes that materially improve long-running experiments.
9 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Machine Learning, Robotics, Doctor of Philosophy - PhD, Machine Learning, Robotics at The University of Texas at AustinMatriculation, Science and Math, Matriculation, Science and Math at Chinmaya VidyalayaBachelor of Technology - BTech, Electronics and Communication Engineering, Bachelor of Technology - BTech, Electronics and Communication Engineering at National Institute of Technology, TiruchirappalliHigh School, Mathematics and Computer Science, High School, Mathematics and Computer Science at Kola Saraswathi
Stackoverflow
1,131reputation
257kreached
52answers
5questions
Github Skills (16)
secure-computation10
pytorch10
deeplearning-ai10
deep-learning10
python10
federated-learning10
cryptography10
test-automation9
debugging9
git8
keras6
opencv6
google-cloud-platform6
youtube6
tensorflow6
Programming languages (16)
Github contributions (5)
OpenMined/PySyft
Mar 2020 - May 2020
Perform data science on data that remains in someone else's server
Role in this project:
Back-end Developer
Back-end DeveloperContributions:12 reviews, 15 commits, 30 PRs in 1 month
Contributions summary:S primarily focused on enhancing the `pysyft` library's encryption and decryption functionalities, specifically for secure multi-party computation (MPC) and Paillier homomorphic encryption. Their contributions involved implementing a `protocol` keyword for the `encrypt()` method, allowing the selection between MPC and Paillier, and adding test cases. The user also improved the code through formatting, documentation, and bug fixes, specifically in the `test_paillier.py` and `native.py` files. Furthermore, the user worked on fixing various modules for PyTorch, and fixing the memory leak within the AST operations.
data-sciencedeep-learningsecure-computationpytorchprivacy
Syzygianinfern0/dotfiles
Jul 2022 - Jan 2026
🏠 Dot configs I use across all my machines
Contributions:1 release, 68 pushes, 1 branch in 3 years 6 months
chezmoidotfileslinuxmacos
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