Aniket Panse is a software engineer with 13 years of experience building performant systems across compilers, runtimes, web APIs, and backend tooling from Menlo Park. At Meta he contributes to Cinder, Meta’s production-oriented fork of CPython, implementing JIT features and low-level runtime fixes that improve numeric and call-frame correctness. Previously he helped evolve Postman’s CLI and collection libraries, focusing on configuration, data loading, and API ergonomics, and worked on payments at Amazon. Comfortable across C/C++ and JavaScript stacks, he blends compiler-level problem solving with practical engineering for developer tools and networking. Colleagues describe him succinctly: “I build.”
13 years of coding experience
3 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and Science
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Texas A&M University
Javascript module that allows a developer to work with Postman Collections
Role in this project:
Full-stack Developer
Contributions:338 commits, 283 PRs, 602 pushes in 1 year 4 months
Contributions summary:Aniket primarily contributed to the Postman collection JavaScript module by implementing features and refactoring code related to the description and variable handling within the collection. Their work involved adding functionality for describing properties using a description property, providing enhanced variable resolution with multi-level scoping, and implementing improved unparsing of query parameters. These changes included adding new methods and refactoring existing components, demonstrating a strong understanding of the codebase.
Cinder is Meta's internal performance-oriented production version of CPython.
Role in this project:
Back-end Developer & Compiler Engineer
Contributions:169 commits, 5 PRs, 2 branches in 1 year 9 months
Contributions summary:Aniket significantly contributed to the core functionality of Cinder, Meta's Python compiler. Their work focused on implementing and extending the Just-In-Time (JIT) compiler, particularly adding support for floating-point binary operations and ensuring proper handling of data types like doubles and int64. They also introduced and fixed issues around low-level implementation details, such as dealing with invalid function calls and correcting handling of call stack frame management in the runtime.
pythoninternaljitcinderruntime
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