Kapil Kumar
Data Scientist
Bengaluru, Karnataka, India
Summary
🤩
Rockstar🎓
Top SchoolKapil Kumar is a data scientist with 11 years of experience currently building foundational models on transaction data at CRED to improve credit risk decisioning. He has a strong ML engineering background from roles at VerSe Innovation where he progressed from ML Engineer to Senior Data Scientist, shipping production systems for large-scale consumer platforms. An early open-source contributor and two-time GSOC participant, Kapil improved cross-platform compatibility for the Common Workflow Language reference implementation and built NeuroML import tooling for Brian2, showing attention to portability and scientific computing. His GitHub work also includes backend and DevOps fixes that make tooling robust on Windows and CI pipelines more reliable. Based in Bengaluru and trained at NIT Delhi in Computer Science, he blends research-grade tooling experience with pragmatic production ML. A less obvious strength is his repeated focus on cross-platform interoperability, enabling wider adoption of complex data and workflow tools.
11 years of coding experience
4 years of employment as a software developer
high School, PCM, 93.6, high School, PCM, 93.6 at Army Public School, Delhi CanttBachelor of Technology (B.Tech.), Computer Science, Bachelor of Technology (B.Tech.), Computer Science at National Institute of Technology Delhi
Stackoverflow
588reputation
283kreached
17answers
2questions
Github Skills (24)
json10
docker10
python10
data-science10
windows10
dockers10
datasets10
compatibility10
common-workflow-language10
data-retrieval10
cicd9
data-manipulation9
data-structures8
data-structure8
testing7
Programming languages (16)
Github contributions (5)
common-workflow-language/cwltool
Mar 2017 - Sep 2017
Common Workflow Language reference implementation
Role in this project:
Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:121 commits, 28 PRs, 135 comments in 6 months
Contributions summary:Kapil primarily contributed to the `cwltool` project by modifying the codebase to address Windows compatibility issues. They implemented changes related to file path normalization, Docker integration, and non-blocking I/O for subprocesses, ensuring the tool functions correctly across different operating systems. They also added build badges and made adjustments to the CI/CD pipeline, demonstrating DevOps skills. Moreover, the user addressed multiple specific bugs and issues in the codebase.
containerssciencelanguage-referencecwlcommonwl
weecology/retriever
Mar 2017 - May 2017
Quickly download, clean up, and install public datasets into a database management system
Role in this project:Back-end Developer
Back-end DeveloperContributions:5 commits, 4 PRs, 28 comments in 2 months
Contributions summary:Kapil primarily contributed to the back-end functionality of the data retrieval system. Their work involved modifying scripts for JSON file handling, including editing and deleting functionalities, and ensuring that they correctly manage data. They refactored code to move deletion functionality to the appropriate module and added the feature to include a message on installation. The user also validated the format of new JSON filenames.
management-systemdata-retrievalpythondatadata-science
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