Rakshit Singh
Software Engineer Intern at Machine Learning for Everyone (ML4E)
Odisha, India
Summary
🤩
Rockstar🎓
Top SchoolRakshit Singh is a software engineer with seven years of experience, currently interning at Deep Forest Sciences and mentoring at Machine Learning for Everyone. He contributes to open-source scientific ML tooling—most notably back-end improvements to DeepChem, a widely used library for drug discovery and computational chemistry—where he has ported layers to PyTorch and improved documentation and robustness. His background blends applied ML engineering and leadership roles in student and nonprofit orgs, including serving as president and technical head at ML4E and heading research at STETHAIM. Based in Odisha, India, he pairs a practical BTech in Mining from NIT Rourkela with hands-on work in ML infrastructure, demonstrating an ability to move research-grade models toward production.
7 years of coding experience
2 years of employment as a software developer
Bachelor of Technology - BTech, Mining, Bachelor of Technology - BTech, Mining at National Institute of Technology, Rourkela
Github Skills (7)
pytorch10
tensor10
tensorflow10
python10
software-design9
computer-engineering9
machine-learning8
Programming languages (8)
Github contributions (5)
deepchem/deepchem
Jan 2023 - Mar 2026
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
Role in this project:
Back-end Developer
Back-end DeveloperContributions:159 reviews, 227 PRs, 264 comments in 3 years 2 months
Contributions summary:Rakshit's commits primarily focus on modifying the indentation width, adding usage examples to splitter code, and porting the SetGather layer to PyTorch. They also fixed errors and improved documentation in the layers.py file. The changes indicate the user's involvement in the development and improvement of the PyTorch modules within the DeepChem library.
deep-learningquantum-chemistrydrug-discoverybiologymaterials-science
sudo-rsingh/greatrsingh-blog
Mar 2024 - Jan 2025
Contributions:1 review, 4 PRs, 88 pushes in 9 months
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