Pranav
Computer Scientist
Ahmedabad, Gujarat, India
Summary
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RockstarPranav is a computer scientist with four years of engineering experience specializing in numerical computing and compiler/back-end development. A graduate of IITJ and a Summer '24 Quansight Labs intern, he contributed to LFortran—implementing double-precision support, intrinsic functions, implied do loops and statement functions—and to stdlib-js by adding robust JSON serialization and deserialization for double-precision numbers with tests and benchmarks. He also participated in GSoC '23 for fortran-lang and has applied machine learning engineering practices during a stint at Warner Bros. Discovery, reflecting a blend of systems-level rigor and applied ML experience. Based in Ahmedabad, he brings practical open-source impact on language tooling and numerical libraries, with a knack for turning tricky floating-point and platform-specific issues into reliable, well-tested features.
4 years of coding experience
Github Skills (11)
json10
compiler10
fortran10
javascript10
compiler-compiler10
testing10
number-theory9
benchmark9
intrinsics9
benchmarking9
documentation8
Programming languages (13)
Github contributions (5)
lfortran/lfortran
Aug 2022 - Jan 2023
Official main repository for LFortran
Role in this project:
Back-end Developer
Back-end DeveloperContributions:4 releases, 1674 reviews, 71 commits in 5 months
Contributions summary:Pranav primarily contributed to the LFortran compiler project by implementing and fixing features related to double-precision floating-point numbers and intrinsic functions. They added tests for double-precision calculations and fixed an error occurring in windows while performing the tests. The user also added support for the `Variable` symbol and implemented implicit statements. Additionally, they implemented statement functions and implied do loops, improving the functionality of the Fortran compiler.
apljupyter-notebookcompilerfortranrepl
stdlib-js/stdlib
Oct 2022 - Jan 2023
✨ Standard library for JavaScript and Node.js. ✨
Role in this project:Back-end Developer
Back-end DeveloperContributions:775 reviews, 48 commits, 117 PRs in 3 months
Contributions summary:Pranav focused on adding support for serializing and reviving double-precision floating-point numbers to and from JSON format. The user created implementations for both the serialization (`to-json`) and deserialization (`reviver`) functions, and created tests, benchmarks, and documentation. Their work contributed directly to the functionality and utility of the project's standard library, specifically in handling numerical data types. Additionally, the user implemented various special functions and utilities, demonstrating a focus on mathematical computations within the library.
numerical-computingmathematicsutilitiesstatisticsscience
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