Shashank Yellapantula
Senior Scientist at National Renewable Energy Laboratory
Golden, Colorado, United States
Summary
👤
Senior🎓
Top SchoolShashank Yellapantula is a Senior Scientist based in Golden, Colorado with nearly two decades of expertise in computational fluid dynamics and eight years focused in industry developing scalable simulation tools for energy and propulsion systems. He specializes in high-performance numerical methods and large-scale solver integration, including notable contributions to the AMReX framework by optimizing HYPRE matrix interfaces and improving multilevel linear solvers. At NREL he applies this expertise to carbon-neutral energy generation challenges, building on prior leadership roles at GE where he led teams to deliver production-grade combustion and LES tools and conceptual pressure-gain combustion designs. His work bridges deep academic rigor from a Stanford PhD with practical engineering impact—demonstrated by solver scalability to tens of thousands of processors and a track record of translating advanced models into validated, industry-ready software.
8 years of coding experience
16 years of employment as a software developer
Bachelor of Technology (B.Tech.), Mechanical Engineering, Bachelor of Technology (B.Tech.), Mechanical Engineering at NIT, Surat, Gujarat, IndiaDoctor of Philosophy (PhD), Mechanical Engineering, Doctor of Philosophy (PhD), Mechanical Engineering at Stanford University
English, Hindi
Github Skills (10)
solver10
fortran10
solve10
cluster-computing10
linear-systems10
parallel-computing10
amr10
scientific-computing10
cprogramming-language9
c-language9
Programming languages (3)
Github contributions (5)
AMReX-Codes/amrex
Apr 2018 - Nov 2019
AMReX: Software Framework for Block Structured AMR
Role in this project:
Back-end Developer
Back-end DeveloperContributions:10 commits, 2 PRs, 4 comments in 1 year 7 months
Contributions summary:Shashank primarily contributed to the integration of the HYPRE library within the AMReX framework, focusing on implementing and optimizing the matrix interface. Their work involved adding HYPRE matrix interfaces, specifically for the IJ solver, and moving relevant HYPRE calls to Fortran for improved performance. The user also optimized the IJ matrix interface and made modifications to the MLMG component to utilize the IJ matrix interface, indicating a focus on enhancing linear solver capabilities.
amrmpistructuredsnl-applicationsmultiphysics
shashankNREL/amr-wind
May 2020 - Jan 2023
AMReX-based structured wind solver
Contributions:1 PR, 80 pushes, 21 branches in 2 years 8 months
crosswordstructuredwindamrexsolver
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.