Nanda Krishna
Research Scientist Intern at Meta
Montreal, Quebec, Canada
Summary
🤩
Rockstar🎓
Top SchoolNanda Krishna is a PhD student at Université de Montréal and Mila who blends computational neuroscience with deep learning to build foundation models for neural decoding. With seven years of experience across research and open-source, they contribute to high-impact projects like Homebrew and NetworkX, bringing practical backend engineering—e.g., livecheck DSL and group centrality implementations—to widely used tools. Their research work spans efficient sequence models and hybrid SSM+attention language models for faster inference, and they have hands-on experience deploying MTP-optimized models in production stacks like vllm. Comfortable moving between research and systems engineering, Nanda also has a background in physiological-signal ML and edge deployment from internships at CMU and industry collaborations. An uncommon strength is their ability to ship reproducible tooling changes (git tagging, license automation) that improve developer workflows alongside cutting-edge model research.
8 years of coding experience
Doctor of Philosophy - PhD Computer Science (Artificial Intelligence), Doctor of Philosophy - PhD Computer Science (Artificial Intelligence) at Université de MontréalCBSE Computer Science, CBSE Computer Science at Vidya Mandir Senior Secondary SchoolBachelor of Engineering Computer Science & Engineering, Bachelor of Engineering Computer Science & Engineering at SSN College of Engineering
English, Tamil, Hindi, Sanskrit, Japanese, Korean, French
Github Skills (23)
unit-testing10
graph-algorithms10
python10
package-management10
project-management10
networkx10
ruby10
homebrew10
version-control10
graph-theory10
git9
graph-analysis9
github9
software-update9
versioninfo9
Programming languages (14)
Github contributions (5)
Homebrew/brew
Mar 2020 - Dec 2022
🍺 The Package Manager for Everywhere
Role in this project:
Back-end Developer & Community Contributor
Back-end Developer & Community ContributorContributions:525 reviews, 440 commits, 450 PRs in 2 years 9 months
Contributions summary:Nanda primarily contributed to the Homebrew package manager by adding and modifying livecheck functionality. This included implementing a DSL for checking software versions, creating and modifying the `Livecheck` class, and adding support for new checking strategies, such as the GithubLatest strategy. Their work also involved creating and modifying rubocops to enforce code style and the correct use of URLs for formulae and improving tests related to livecheck.
package-managerhomebrewrubymacosbrew
networkx/networkx
May 2019 - Jun 2019
Network Analysis in Python
Role in this project:Back-end Developer
Back-end DeveloperContributions:6 commits, 7 PRs, 43 comments in 1 month
Contributions summary:Nanda primarily focused on implementing and testing new group centrality measures within the NetworkX library. Their work involved adding new modules, writing tests, and addressing code style issues based on review feedback. The user made improvements for efficiency and ensured the code met the project's requirements through various updates, including fixing typos and syntax errors. They also worked on documentation updates related to their implemented features.
pythoncomplex-networksgraph-theorygraph-algorithmsgraph-analysis
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