Anderson Park
AI Engineer at SolverX
Berkeley, California, United States
Summary
👤
Senior🎓
Top SchoolAnderson Park is an AI Engineer based in Berkeley with nine years of technical experience bridging physics research and machine learning infrastructure. He has hands-on MLOps and product experience at SolverX and a strong academic background from UC Berkeley in physics and data science, where he contributed to quantum and neutrino simulations using C++, Python, QuTiP, and HPC resources. His research roles include building a Molmer–Sørensen gate simulator and improving integrators for quantum kinetic equations, demonstrating a knack for turning complex physical models into reproducible, testable code. Former military service as a medic NCO adds operational discipline and leadership in high-stakes environments. Anderson brings a rare combination of experimental physics insight and practical ML deployment skills, skilled at shipping rigorous, production-ready solutions that straddle research and product.
9 years of coding experience
3 years of employment as a software developer
Bachelor of Arts - BA, Physics, Bachelor of Arts - BA, Physics at University of California, Berkeley
Github Skills (8)
quantum-mechanics8
qiskit7
julia7
simulation7
simulator6
quantum-computing5
flask4
python3
Programming languages (5)
Github contributions (5)
jspark971/landslide_ML
Jan 2018 - Feb 2019
Contributions:22 commits, 17 pushes, 3 branches in 1 year 1 month
andersonjpark/landslideVisualization
Jun 2017 - Apr 2022
Contributions:41 commits, 4 PRs, 40 pushes in 4 years 11 months
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