Summary
Zachary Meadows is a Simulation Software Engineer with 13 years of experience specializing in high-performance C++ and Python systems for simulation, modeling, and data-driven analysis. With a PhD in Physics, he has applied rigorous scientific methods to optimize algorithms—improving Kalman filter track-fitting for HL-LHC and leading analysis efforts on the ATLAS all-hadronic VH resonance search. He now focuses on simulation, active machine learning, and performance tuning in space and defense contexts, delivering maintainable, production-ready code and CI/CD-aware workflows. Based in Santa Barbara, he blends deep physics understanding with practical software engineering to squeeze performance from complex systems, often surfacing non-obvious optimization opportunities across algorithm and infrastructure layers.
13 years of coding experience
6 years of employment as a software developer
University of Massachusetts Amherst
Bachelor’s Degree, Physics, Bachelor’s Degree, Physics at University of Wisconsin-Stevens Point