Rohit Goswami

System Specialist at Háskóli Íslands

Reykjavik, Iceland
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Summary

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Rohit Goswami is a systems-focused software engineer and researcher with 11+ years of experience building and optimizing scientific computing infrastructure, currently working on the Metatensor ecosystem at EPFL and pursuing doctoral research in physical sciences. He blends deep *nix and FOSS pedigree—ex-LineageOS maintainer and long-time contributor to projects like SciPy, NumPy, Spack and LFortran—with practical package maintenance, performance engineering, and compiler work (notably adding core math intrinsics to LFortran and HiGHS integration in SciPy). Comfortable across C++, LLVM, Fortran, and Python toolchains, he also improves developer ergonomics through docs, CI, and Emacs tooling. An active community educator and Carpentries instructor, he mentors contributors and has guided Summer of Nix participants, reflecting a commitment to reproducible research and open collaboration. Based in Reykjavík, he brings interdisciplinary curiosity—linking computational chemistry, photonics, and high-performance software—to deliver robust, well-tested solutions.
code11 years of coding experience
job6 years of employment as a software developer
bookDoctor's Degree, PHYSICAL SCIENCES, Doctor's Degree, PHYSICAL SCIENCES at Háskóli Íslands
bookFull Stack Web Development Certification, Computer Software Engineering, Full Stack Web Development Certification, Computer Software Engineering at freeCodeCamp
bookBachelor of Technology (B.Tech.), Chemical Engineering, Bachelor of Technology (B.Tech.), Chemical Engineering at Harcourt Butler Technical University
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Stackoverflow

Stats
722reputation
55kreached
11answers
5questions
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Github Skills (55)

f2py10
algorithms10
git10
scipy10
benchmark10
c-language10
pytest10
package-management10
python10
org-mode10
llvm10
compiler-development10
fortran10
benchmarking10
cmake10

Programming languages (33)

C#CVim SnippetCMakeMakefileGoHTMLJupyter Notebook

Github contributions (5)

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numpy/numpy

Aug 2021 - Jan 2023

The fundamental package for scientific computing with Python.
Role in this project:
userTechnical Writer
Contributions:340 reviews, 107 commits, 118 PRs in 1 year 4 months
Contributions summary:Rohit's commits focus on documenting and improving the F2PY tool within the NumPy project. They reworded documentation pages and added specific details related to various features, including build tools, and the impact of operating systems on them. A significant portion of the changes revolves around adding examples, release notes and clarifying existing documentation for new features like `--empty-gen` flag and the removal of f2py.compile.
lapackpythonmpindarrayconvolution
airspeed-velocity/asv

Dec 2022 - Jan 2023

Airspeed Velocity: A simple Python benchmarking tool with web-based reporting
Role in this project:
userDevOps Engineer & Test Automation Engineer
Contributions:4 releases, 97 reviews, 12 commits in 4 days
Contributions summary:Rohit primarily focused on improving the testing infrastructure and ensuring the stability of the `asv` project, a Python benchmarking tool. Their work included fixing issues with submodules, making the test suite more robust. Additionally, they modified the code to use the default branch for more streamlined operation and addressed linter issues to maintain code quality.
pythonbenchmarkingreportingweb-basedbenchmark
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Rohit Goswami - System Specialist at Háskóli Íslands