Huzaifa Unjhawala
Staff Physics Engine Development Engineer at UW-Madison Simulation Based Engineering Lab (SBEL)
Madison, Wisconsin, United States
Summary
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Top SchoolHuzaifa Unjhawala is a Staff Physics Engine Development Engineer with five years of hands-on experience building high-performance simulation and dynamics software for robotics and autonomy. Currently at Tesla and concurrently a research affiliate at UW–Madison’s Simulation Based Engineering Lab, he specializes in GPU-accelerated Fluid-Structure Interaction, reduced-order terrain models, and novel Graph Neural Network approaches to speed up complex multiphysics workflows. His work spans production-grade engines—like a 10x faster GPU collision detector contributed to Drake during a TRI internship—and open-source Project Chrono FSI and HydroChrono integrations that enable realistic off-road and hydrodynamic simulations. Trained across mechanical engineering and computer science up to PhD-level study, he combines rigorous physical modeling with practical engineering (CAD, FEA, experimental prototyping) to close the gap between slow high-fidelity solvers and real-time autonomy needs. Notably, he focuses on making expensive multiphysics experiments reproducible and fast enough to explore design spaces from a laptop.
5 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Mechanical Engineering, Doctor of Philosophy - PhD, Mechanical Engineering at University of Wisconsin-MadisonBachelor of Technology - BTech, Mechanical Engineering, Bachelor of Technology - BTech, Mechanical Engineering at National Institute of Technology, Tiruchirappalli
Hindi, English, Tamil, Gujarati
Stackoverflow
1reputation
0reached
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Github Skills (100)
cpp10
fourier-transform10
robotics10
pde10
simulations10
high-performance10
multiclass-classification10
dynamics10
physics10
physics-engine10
simulation10
paddle10
c-library10
modeling10
operator9
Programming languages (5)
Github contributions (5)
uwsbel/low-fidelity-dynamic-models
Sep 2023 - Jul 2024
A library of fast and accurate low fidelity dynamic models for applications in robotics
Contributions:1 release, 2 reviews, 19 PRs in 9 months
uwsbel/chrono-wisc
Nov 2024 - Apr 2025
High-performance C++ library for multiphysics and multibody dynamics simulations
Contributions:110 pushes, 13 branches in 4 months
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