Naman Priyadarshi is a Gen AI intern and Master's student in Computer Science (Data Science) at EURECOM with five years of hands-on experience in machine learning, computer vision, and software engineering. He has practical open-source chops—contributing backend fixes, enhancements, and benchmarking to pvlib-python, a widely used photovoltaic simulation library—and has modernized testing and CI workflows in academic and community projects. Past internships span NLP research, app development, and migrating BenchExec’s tests from nose to pytest, showing a blend of research-led rigor and production-focused engineering. Based in Antibes with roots in Delhi University, he combines mathematical innovation with applied data science and a knack for improving developer tooling and reproducible workflows.
5 years of coding experience
1 year of employment as a software developer
University of Delhi
Master's in Computer Science - Data Science, Computer Science, Master's in Computer Science - Data Science, Computer Science at EURECOM
High School Diploma, High School Diploma at ASN Senior Secondary School - India
A set of documented functions for simulating the performance of photovoltaic energy systems.
Role in this project:
Backend Developer
Contributions:2 reviews, 6 commits, 11 PRs in 7 months
Contributions summary:Naman contributed to the pvlib-python repository by addressing bug fixes, implementing enhancements, and adding benchmarking functions. Their work included removing unnecessary parameters from core functions, updating documentation to reflect changes, and adding benchmarks for scaling functions. The user also improved the repository's functionality by advancing the version of numba.
Contributions:2 PRs, 86 pushes, 34 branches in 7 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.