Rakshit Singh

Software Engineer Intern at Machine Learning for Everyone (ML4E)

Odisha, India
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Summary

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Rakshit 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.
code7 years of coding experience
job2 years of employment as a software developer
bookBachelor of Technology - BTech, Mining, Bachelor of Technology - BTech, Mining at National Institute of Technology, Rourkela
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Github Skills (7)

pytorch10
tensor10
tensorflow10
python10
software-design9
computer-engineering9
machine-learning8

Programming languages (8)

TypeScriptRustJavaScriptGoHTMLJupyter NotebookPythonKotlin

Github contributions (5)

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deepchem/deepchem

Jan 2023 - Mar 2025

Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
Role in this project:
userBack-end Developer
Contributions:143 reviews, 215 PRs, 229 comments in 2 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.
chemistrysciencedrug-discoverydeep-learningbiology
sudo-rsingh/greatrsingh-blog

Mar 2024 - Jan 2025

Contributions:1 review, 4 PRs, 88 pushes in 9 months
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