Jacob Vandrunen
Machine Learning Engineer
Irvine, California, United States
Summary
👤
Senior🎓
Top SchoolJacob Vandrunen is a machine learning engineer and PhD candidate in Logic and Philosophy of Science at UC Irvine who blends formal reasoning with hands-on ML and systems experience. He researches computational models of self-assembling evolutionary games to study the co-evolution of strategies and interaction structures, with applications to communication, cooperation, and cognition. With a BS in Computer Science and a background building middleware, GUIs, and sensor-processing algorithms at startups like Accel Robotics and ViaSat, he comfortably moves between Python/C++ engineering and experimental ML. His work uniquely combines philosophical rigor with practical model calibration (e.g., CNN calibration and sensor-data algorithms), enabling interpretable, biologically inspired computational approaches. Based in Irvine, CA, he brings 12 years of cumulative technical experience that spans research, internships, and production-focused development.
12 years of coding experience
1 year of employment as a software developer
High School Diploma, High School Diploma at Escondido Charter High SchoolUniversity of California, Irvine
Github Skills (38)
nim-lang10
macros10
c9910
metaprogramming10
ada10
nimble10
procedural10
programming-language9
python9
compiler9
odin8
openflow8
integrity8
serializer7
mesh7
Programming languages (3)
Github contributions (5)
jackvandrunen/enclave
May 2014 - Dec 2014
Contributions:51 commits in 6 months
jackvandrunen/tsp
Feb 2021 - Jun 2023
A library for cognitive science research on the traveling salesperson problem (TSP).
Contributions:26 PRs, 83 pushes, 7 branches in 2 years 4 months
travelingtsp-problemtspsciencecognitive-science
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