Yash Nisar is a Software Engineer II based in Austin with 10 years of experience building resilient, production-grade systems at companies like Microsoft and Amazon. He combines backend microservices and automation expertise—shipping membership and GDPR-compliance tooling at Audible—with a long history of open-source contributions that improve linting, license detection, and developer tooling. As a core contributor to coala and scancode-toolkit, he’s fixed complex analysis bugs, expanded language support for linters, and improved CLI usability and testing APIs used by developers worldwide. Yash’s background spans cloud, live-streaming data-plane algorithms, and reinforcement-learning research, showing uncommon breadth across systems, data, and ML. He’s technology-agnostic in practice, preferring pragmatic, debuggable solutions, and often focuses on testability and developer experience as levers for long-term quality.
10 years of coding experience
4 years of employment as a software developer
HSC, Electronics, HSC, Electronics at Acharya A.V Patel Junior College
Bachelor’s Degree, Information Technology, Bachelor’s Degree, Information Technology at University of Mumbai
Master of Science - MS, Computer Science, 3.71, Master of Science - MS, Computer Science, 3.71 at Rutgers University
Contributions:41 commits, 38 PRs, 791 comments in 5 months
Contributions summary:Yash contributed to the coala-bears repository by implementing and maintaining various linters and code analysis tools. Their work included adding new linters for Elm, Stylus, PHP, and Pug, as well as updating existing ones for YAML, Ruby, and Markdown. The user's contributions also involved modifying build processes and configurations by adding or updating dependencies. The user's work involved code quality improvements and adherence to various coding standards.
coala provides a unified command-line interface for linting and fixing all your code, regardless of the programming languages you use.
Role in this project:
Backend Developer & QA Engineer
Contributions:13 commits, 12 PRs, 264 comments in 1 year
Contributions summary:Yash primarily contributed to the project by fixing bugs and improving the codebase's robustness. Their commits reflect a focus on resolving issues related to code analysis, error handling, and test improvements. The user implemented changes that involved updating warning messages, fixing logic errors, and modifying test cases to ensure more comprehensive coverage. Furthermore, the user worked on improving the usability of the command-line interface for better user experience.
fixinglinterlintpythonwindows
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.