Jin Park
Physical AI Fellow at Doosan
College Station, Texas, United States
Summary
👤
Senior🎓
Top SchoolJin Park is a PhD candidate and versatile machine learning engineer with a decade of experience bridging academic research and industry R&D across AI, optimization, and applied data systems. At Texas A&M’s Brain Networks Lab he leads biologically motivated CNN research and projects on predictive behavior and smart thermostats, while also teaching AI courses. His industry stints include building production-ready LLM-augmented search for Samsung Life, custom Transformer classifiers and big-query pipelines at LG Uplus, and evolutionary neural approaches for routing and forecasting at Tilda. Jin’s background blends reinforcement learning pedagogy and hands-on engineering, and he maintains accessible research resources and code online, reflecting a commitment to reproducible ML. Notably, he pairs cognitive-inspired model development with practical deployments—from document parsing systems to commercial vehicle strategy—making him effective at turning research insights into real-world products.
10 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD Computer Science and Engineering, Doctor of Philosophy - PhD Computer Science and Engineering at Texas A&M UniversityBachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at University of Bristol
Github Skills (3)
spring-boot3
jpa2
elasticsearch2
Programming languages (5)
Github contributions (5)
truebirght/iotstarter-examples
Nov 2018 - Jul 2019
Contributions:26 pushes in 7 months
truebirght/movie-finder
Apr 2018 - Oct 2018
Contributions:3 pushes in 6 months
vuejsvuevue-jselasticsearch
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