Jordan Jalving
Senior Staff AI Process Engineer at Atomic Machines
San Diego, California, United States
Summary
👤
Senior🎓
Top SchoolJordan Jalving is a Senior Staff AI Process Engineer with a PhD in Chemical Engineering and a decade of experience applying mathematical modeling, simulation, optimization, and AI to complex engineering and energy systems. He has progressed from process and simulation roles in industry to research positions at national labs and academia, and now leads AI-driven process engineering at Atomic Machines. His work spans optimization for coupled energy networks, surrogate modeling, neural network verification, and model predictive control, often bridging theory and production software. Comfortable in both research and product settings, he has repeatedly translated dynamic-system models and experimental data into robust engineering solutions. Based in San Diego, he combines deep domain knowledge in chemical and energy systems with practical skills in scientific software and distributed computing. An underappreciated strength is his track record of working across government labs, consulting, and startups—making him adept at delivering impact in regulated and fast-moving environments.
10 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy - PhD Chemical Engineering, Doctor of Philosophy - PhD Chemical Engineering at University of Wisconsin-MadisonBachelor of Science Chemical and Biological Engineering, Bachelor of Science Chemical and Biological Engineering at Colorado State University
Github Skills (77)
python10
relu10
bisection10
optimization10
onnx10
integer10
scalable10
julia10
mathematical-programming10
graph10
partitioning10
nonlinear-programming10
hypergraph10
lightgraphs10
nonlinear-optimization10
Programming languages (8)
Github contributions (5)
kahypar/KaHyPar.jl
Jul 2019 - Oct 2022
KaHyPar.jl is a Julia interface to the KaHyPar multilevel hypergraph partitioning package.
Contributions:3 releases, 59 commits, 10 PRs in 3 years 3 months
julia-interfacepartitioninghypergraph-partitioningmultileveljulia
plasmo-dev/Plasmo.jl
Jul 2017 - Dec 2022
A Platform for Scalable Modeling and Optimization
Contributions:11 releases, 24 reviews, 576 commits in 5 years 5 months
modelingoptimizationscalablemachine-learning
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