Ayush Gupta

Berkeley, California, United States

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Summary

👤

Senior

Aayush Gupta is a DevTech AI Engineer with nine years of hands-on experience building scalable ML and systems software, currently based in Berkeley and working at NVIDIA. He blends research and production practice—from undergraduate AI research and robotics teams at Berkeley to hands-on GPU compute and DevTech roles—shipping developer-focused solutions that bridge models and infrastructure. An active open-source contributor, he has improved core data-handling and interpolation functionality in the widely used pymatgen materials library, reflecting an ability to strengthen scientific tooling as well as engineering systems. Pursuing an MS in Computer Science at Stanford after a UC Berkeley EECS degree, he brings both academic rigor and practical impact to complex perception, compute, and embedded software problems.

10 years of coding experience

Github Skills (3)

science10

python10

materials-informatics8

Programming languages (2)

PythonFortran

Github contributions (5)

materialsproject/pymatgen

Feb 2020 - Jun 2020

Python Materials Genomics (pymatgen) is a robust materials analysis code that defines classes for structures and molecules with support for many electronic structure codes. It powers the Materials Project.

Role in this project:

Back-end Developer

Contributions:18 commits, 4 PRs, 8 comments in 4 months

Contributions summary:Ayush primarily contributed to the `pymatgen` library by modifying core classes and methods, including `Entry`, `ComputedEntry`, and `PDEntry`. Their work involved updating docstrings, rewriting the `Entry` class as an abstract base class, and implementing interpolation functionalities for the `VolumetricData` and `Elfcar` classes. These changes reflect a focus on improving the library's core functionalities and data handling capabilities for materials analysis.

pymatgenpythonsciencematerials-sciencematerials-informatics

ayushsgupta/pymatgen

Jan 2020 - Aug 2021

Python Materials Genomics (pymatgen) is a robust materials analysis code that defines core object representations for structures and molecules with support for many electronic structure codes. It is currently the core analysis code powering the Materials Project.

Contributions:29 pushes, 7 branches in 1 year 7 months

pymatgenpython

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