Parikshit Bajpai
Computational Scientist
Idaho Falls, Idaho, United States
Summary
🤩
Rockstar🎓
Top SchoolParikshit Bajpai is a computational scientist with 7 years of experience building multiscale, multiphysics simulation tools for nuclear materials and reactors, currently at Idaho National Laboratory. He specializes in integrating computational thermodynamics, machine learning surrogates, and advanced data handling to accelerate phase-equilibrium and reactor-scale calculations, and developed a MOOSE-based Gibbs energy minimizer during his PhD. His work spans MOOSE ecosystem projects such as Bison and Grizzly and includes backend contributions to the flagship open-source moose repository improving maintainability and diagnostics. He has applied his skills to practical reactor problems—from modeling inert gas bubbling in molten salt reactors to corrosion thermochemistry—bridging applied mathematics, CFD, and scientific computing. Notably, he combined PETSc solvers with novel global optimization methods to predict phase equilibria in multicomponent systems, demonstrating both deep numerical expertise and a focus on deployable tools.
7 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Modelling and Computational Science, Doctor of Philosophy - PhD, Modelling and Computational Science at Ontario Tech UniversityMaster of Science (MS), Nuclear Engineering, 101/110, Master of Science (MS), Nuclear Engineering, 101/110 at Politecnico di MilanoBachelor of Technology (B.Tech), Mechanical Engineering, 70.98%, Bachelor of Technology (B.Tech), Mechanical Engineering, 70.98% at JSS ACADEMY OF TECHNICAL EDUCATION, NOIDA
English, Italian, Hindi
Github Skills (13)
c-language10
cprogramming-language10
object-oriented-programming10
f9
software-design9
el9
error-handling9
simulations9
simulation9
refactoring8
finite-element-analysis8
multiphysics7
parallel7
Programming languages (5)
Github contributions (5)
idaholab/moose
Jul 2021 - Jul 2021
Multiphysics Object Oriented Simulation Environment
Role in this project:
Back-end Developer
Back-end DeveloperContributions:16 reviews, 5 commits, 11 PRs in 1 day
Contributions summary:Parikshit primarily focused on enhancing the `moose` repository's backend functionality. Their work involved adding utility functions to create and manage data structures, specifically pairs of parameters within the codebase. Further contributions included refining error messages for improved clarity and debugging capabilities. The user also refactored and renamed several functions to improve code maintainability and readability, updating tests to reflect the changes.
pythonfinite-element-analysisfemparallelmultiphysics
parikshitbajpai/parikshitbajpai.github.io
Jun 2020 - Apr 2024
Personal website
Contributions:2 PRs, 21 pushes, 6 branches in 3 years 9 months
reactnextjs
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.