Nesar Ramachandra
Computational Scientist
Greater Chicago Area United States
Summary
👤
Senior🎓
Top SchoolNesar Ramachandra is a computational scientist with nine years of experience building statistical tools and ML pipelines for cosmology on HPC systems at Argonne National Laboratory. He holds a PhD in Physics from the University of Kansas where his research explored the topology, geometry and morphology of dark matter structures, and he applies that theoretical insight to analyze simulations and observational data. At Argonne he has progressed from summer fellow to staff scientist, deploying deep learning workflows on top supercomputers for projects tied to next-generation surveys like LSST and Euclid. Comfortable bridging theory, code and large-scale compute, he combines rigorous academic training with hands-on expertise in ML, HPC and cosmological inference. An early-career pattern that distinguishes him is frequent role progression within a national lab, reflecting both research depth and production-focused engineering.
9 years of coding experience
8 years of employment as a software developer
University of KansasBITS Pilani, Birla Institute of Technology and Science
English, Kannada, Hindi, Sanskrit
Github Skills (22)
markdown10
jekyll10
jekyll-theme9
github-pages9
html9
uncertainty-quantification6
mpi5
python5
pytorch4
machine-learning4
hpc4
raylib4
neural-architecture-search4
deep-learning3
automl3
Programming languages (6)
Github contributions (5)
nesar/nesar.github.io
Oct 2017 - Oct 2022
Personal webpage using Jekyll
Contributions:245 commits, 2 PRs, 309 pushes in 5 years
jekyll
nesar/ZeldovichTest
Apr 2020 - Jun 2024
Contributions:7 pushes, 1 branch in 4 years 3 months
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