Subhodeep Moitra
Software Engineer
Montreal, Quebec, Canada
Summary
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RockstarSubhodeep Moitra is a software engineer with 14 years of experience specializing at the intersection of machine learning research and production-grade software. With roots that include work at Google Brain and a CMU PhD background reflected in his GitHub bio, he blends rigorous ML understanding with pragmatic engineering. He has contributed to flagship open-source projects like scikit-learn, focusing on Python 3 compatibility and maintainability—an indication of his attention to robustness and reproducibility. Based in Montreal, he thrives on translating research-grade models into reliable code and quietly improves developer experience through careful compatibility and test fixes.
14 years of coding experience
Github Skills (8)
scikit10
scikit-learn10
machine-learning10
python10
data-analysis10
data-science9
statistics8
numpy7
Programming languages (5)
Github contributions (5)
scikit-learn/scikit-learn
Mar 2012 - Mar 2012
scikit-learn: machine learning in Python
Role in this project:
Data Scientist
Data ScientistContributions:17 commits in 2 days
Contributions summary:Subhodeep primarily contributed to Python 3 compatibility fixes within the scikit-learn library. Their work involved adapting doctests, fixing print statements, and adjusting code to handle type conversions, ensuring the library functioned correctly across different Python versions. These changes suggest a focus on maintaining and improving the codebase for users of Python 3, specifically addressing potential errors and compatibility issues. Additionally, the user made some minor adjustments to internal message handling.
data-analysispythonstatisticsdata-sciencelearn-machine-learning
smoitra87/courses
Jan 2012 - Dec 2013
Contributions:17 commits in 1 year 11 months
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