Niraj Nepal
Senior Computational Scientist
Pittsburgh, Pennsylvania, United States
Summary
🤩
Rockstar🎓
Top SchoolNiraj Nepal is a Senior Computational Scientist based in Pittsburgh with 11 years of experience applying machine learning and first-principles methods to materials physics. He specializes in electronic-structure theory—semilocal DFT, beyond-RPA correlation methods, and TDDFT with kernel-corrected approaches for optical spectra, excitons, and plasmons—bridging theory and scalable computation. After postdoctoral roles at Ames National Laboratory and Temple University, he now leads computational projects at the Pittsburgh Supercomputing Center, translating advanced many-body techniques into production-ready workflows. He pairs deep physics intuition with software engineering practice, enabling reproducible, high-performance simulations rather than only proof-of-concept studies. An educator and collaborator, he has a background spanning MSc/BSc physics through a graduate focus in condensed matter at Temple, and often leverages machine learning to accelerate electronic-structure predictions in ways not obvious from typical theory-focused profiles.
11 years of coding experience
8 years of employment as a software developer
Condensed Matter and Materials Physics, Condensed Matter and Materials Physics at Temple UniversityBSc, MSc, Physics, BSc, MSc, Physics at Tribhuvan University
English, Nepali, Hindi
Github Skills (28)
multimodal10
llm9
vector-database9
machine-learning9
google-cloud9
ai9
firebase9
gemini6
solidus3
nodejs3
typescript2
rspec2
client-library2
api-client2
electron2
Programming languages (2)
Github contributions (5)
zarinn3pal/zarinn3pal
Apr 2021 - Aug 2023
Contributions:10 pushes, 1 branch in 2 years 4 months
zarinn3pal/the_blog
Aug 2015 - Apr 2016
Contributions:10 pushes, 1 branch in 8 months
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