Chahak Mehta is a software engineer with eight years of experience blending computational science, machine learning, and backend engineering, currently based in New York and pursuing an MS in Computational Science, Engineering and Mathematics at UT Austin. She has built production-facing data and CI/CD systems at scale—from a Neo4j-backed semantic search for HPC experiments to Kubernetes-driven continuous integration—and contributed to high-profile open-source projects like matplotlib by improving legend behavior and test coverage. Her background spans research-driven epidemic simulations and differentiable physics (MPM with JAX) as well as industry roles improving ML pipelines and dashboards at Twitter and Activision Blizzard King. Comfortable moving between research and product, she brings domain depth in nonlinear/complex systems and epidemiology alongside practical experience deploying robust data and simulation tooling.
8 years of coding experience
4 years of employment as a software developer
Master's degree, Computational Science, Engineering and Mathematics, Master's degree, Computational Science, Engineering and Mathematics at The University of Texas at Austin
Bachelor of Technology, Honors in Information and Communication Technology, Minor in Computational Science, Bachelor of Technology, Honors in Information and Communication Technology, Minor in Computational Science at Dhirubhai Ambani University
Secondary schooling, Secondary schooling at Shree Satya Sai Vidyalaya, Jamnagar
Contributions:117 reviews, 32 commits, 13 PRs in 2 months
Contributions summary:Chahak primarily contributed to the `matplotlib` library by modifying and adding functionality related to the legend and its text color handling. They implemented changes to the legend behavior in scatter plots, ensuring text colors are correctly applied based on various conditions, including the use of colormaps and iterable colors. Moreover, the user added and improved test cases to validate the correct behavior of the legend, particularly focusing on how it interacts with string-based arguments for text color options. They also worked on improving the figure options dialog box.
Contributions:10 commits, 4 pushes in 1 year 1 month
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