John Viljoen
Graduate Student Researcher
Berkeley, California, United States
Summary
👤
Senior🎓
Top SchoolJohn Viljoen is a PhD student and graduate researcher at UC Berkeley specializing in the intersection of control theory and machine learning, focused on designing learning-based controllers with provable stability. With nine years of research and industry experience spanning aerospace engineering and AI, he has applied practical skills from LSTM quantization and TensorFlow/PyTorch deployment to hardware-aware design work at Imagination Technologies and Netronome. His background blends rigorous academic training (Master's from Bristol, ongoing PhD at Berkeley) with hands-on engineering—from CFD-driven heatsink design to production-focused inference acceleration. Based in Berkeley, he brings a systems-minded approach to ML and control, pairing theoretical guarantees with pragmatic implementation experience.
10 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD Control Theory, Doctor of Philosophy - PhD Control Theory at University of California, BerkeleyThe Leys SchoolMaster's degree Aerospace Engineering, Master's degree Aerospace Engineering at University of Bristol
Afrikaans, English
Github Skills (37)
constrained-optimization10
dynamical-systems10
nonlinear-dynamics10
nonlinear-optimization10
model-predictive-control9
system-identification9
differentiable-programming9
control-systems9
deep-learning8
pytorch8
gpu7
jax7
jit7
solve5
linux4
Programming languages (6)
Github contributions (5)
johnviljoen/f16_mpc_oop_py
Jul 2021 - Sep 2021
Contributions:61 commits, 54 pushes, 1 branch in 2 months
pnnl/DPC_for_robotics
Oct 2023 - Mar 2024
Contributions:91 pushes, 1 branch in 5 months
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