Chris Yoon
Software Engineer at Palantir Technologies
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolChris Yoon is a software engineer based in New York with eight years of experience building systems-level and infrastructure software across industry and academia. He currently works on Foundry Ontology at Palantir after an internship on Gotham Ontology, bringing domain expertise in knowledge-modeling platforms and production-grade engineering. His background includes research in operating systems, compilers, secure containerization, and trusted execution at Columbia, plus teaching and head TA roles for compilers and AI courses. Prior internships at Virtu and Riot gave him low-latency networking, authentication, and GitOps/CI/CD experience, showing comfort across both low-level and orchestration layers. He blends research rigor with pragmatic shipping instincts—comfortable moving from compiler design and trusted execution research to high-throughput trading and incident-management tooling. Unusually for an industry engineer, he has deep academic mentorship experience and has led course instruction while shipping production services.
8 years of coding experience
1 year of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Columbia UniversityBachelor's degree Computer Science, Bachelor's degree Computer Science at Columbia College, Columbia University
English, Korean
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (57)
pytorch10
parallel10
python10
hydra10
machine-learning10
sac10
large-language-models10
reinforcement-learning10
java10
llm10
quantile-regression10
dqn10
ddpg10
deep-reinforcement-learning10
ray10
Programming languages (7)
Github contributions (5)
cyoon1729/Multi-agent-reinforcement-learning
Mar 2019 - Jul 2019
Implementation of Multi-Agent Reinforcement Learning algorithm(s)
Contributions:26 commits, 2 PRs, 41 pushes in 3 months
multiagent-reinforcement-learningagentreinforcement-learningreinforcement-learning-agentdeep-reinforcement-learning
cyoon1729/distributedRL
Nov 2019 - Dec 2020
A framework for easy prototyping of distributed reinforcement learning algorithms
Contributions:51 commits, 9 PRs, 52 pushes in 1 year 1 month
reinforcement-learning-algorithmsraydistributed-reinforcement-learningreinforcement-learningprototyping
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