Pareksha Manchanda is a Senior Software Engineer with eight years of experience building backend systems, currently shaping Vehicle Ads at Google to help advertisers surface car inventory on Search. Comfortable in both startup-like OSS projects and hyperscale teams, Pareksha has a track record of shipping production services at Google after internships at Amazon and Goldman Sachs. An active open-source contributor, they extended coala’s language support (adding Tcl, m4, PowerShell, VB) and modernized linting bears, demonstrating a strong focus on code analysis, testing infrastructure, and maintainability. Known for pragmatic problem-solving, Pareksha blends deep Python expertise from GSoC/coala work with large-scale service engineering. Based in Bengaluru, they pair applied research instincts with hands-on delivery across the full backend stack.
8 years of coding experience
5 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Panjab University
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:
Back-end Developer
Contributions:18 commits, 19 PRs, 130 comments in 5 months
Contributions summary:Pareksha primarily contributed to the `coala` project by modifying and expanding the capabilities of its language and formatting aspects. The user added new language definition files for Tcl, m4, PowerShell, and Visual Basic, extending coala's support for various programming languages. They also implemented features to improve the handling of comment delimiters and string escapes, enhancing the overall code analysis capabilities. In addition, they created decorators and made adjustments to the testing framework.
Software Engineer (with focus on code analysis and linting)
Contributions:5 commits, 5 PRs, 39 comments in 6 months
Contributions summary:Pareksha contributed to the `coala-bears` project, focusing on improving code quality and maintainability. They fixed bugs within existing bears, like in `ClangComplexityBear` and `LanguageToolBear`, ensuring correct functionality and error handling. Furthermore, the user modernized the codebase by migrating existing bears such as `LineLengthBear` and `PycodestyleBear` to use aspects. The contributions demonstrate a good understanding of the project's structure and the importance of clean code.
linterpythonbearsgenericlanguages
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Pareksha Manchanda - Senior Software Engineer at Google