Athitya Kumar is a Staff Software Engineer with 10 years’ experience, currently leading platform and onboarding initiatives at Intuit from Bengaluru after graduating from IIT Kharagpur in 2019. He blends full‑stack engineering with platform architecture—driving Palantir Foundry onboarding that unlocked multi‑million dollar efficiencies and earlier building resilient data ingestion, lineage capture, and self‑healing systems across Intuit’s data platforms. A pragmatic leader, he’s delivered measurable performance and cost gains (e.g., EMR gp3 adoption, 10% cost improvement and significant CPU reduction) while shipping SDKs and APIs that enabled 20+ teams to adopt data lineage. Active in open source, he contributes to well-known projects like GitHub Classroom, Karate, and the Ruby data analysis ecosystem (daru/colorls), reflecting a habit of improving UX, reporting, and core library behavior. Outside work he’s a chess player and community mentor, quietly combining system-level rigor with hands-on UI and backend craftsmanship.
10 years of coding experience
7 years of employment as a software developer
D.A.V Public School
High School Computer Science stream, High School Computer Science stream at Chettinad Vidyashram
Bachelor of Technology (BTech) & Master of Technology (MTech) Mechanical Engineering, Bachelor of Technology (BTech) & Master of Technology (MTech) Mechanical Engineering at Indian Institute of Technology, Kharagpur
A Ruby gem that beautifies the terminal's ls command, with color and font-awesome icons. :tada:
Role in this project:
Back-end Developer
Contributions:2 releases, 2 reviews, 140 commits in 5 years 4 months
Contributions summary:Athitya primarily contributed to the `colorls` gem by implementing features and fixing bugs related to its core functionality. They added features like multiple files per line with proper indentation and improved indent decisions with the `--report` flag. The user also addressed issues with the display of directories and files, ensuring correct behavior in various scenarios. Furthermore, the user fixed minor bugs and issues related to the gem's internal structure.
Contributions:14 commits, 10 PRs, 148 comments in 3 years 4 months
Contributions summary:Athitya primarily contributed to the `daru` Ruby data analysis library, focusing on enhancing the core functionality of the `Vector` and `DataFrame` classes. They implemented features like `max`, `min`, and index-related methods, including associated test cases. Significant work was done to address issues related to missing data and ensure compatibility with the `is_values` method. Additional work included refactoring and code shortening for efficiency improvements.
data-analysisdataframesrubydata-science
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