Carson Eisenach
Principal Applied Scientist at Amazon
New York, New York, United States
Summary
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Senior🎓
Top SchoolCarson Eisenach is a Principal Applied Scientist at Amazon with 11 years of experience applying deep reinforcement learning to real-world supply chain and control problems. He specializes in constraining RL agents as alternatives to model predictive control and improving communication between planning agents and real-time systems, bridging research and production. Carson’s work increasingly explores the intersection of RL and large language models to build agents that reason, plan, and act in dynamic environments. He holds a PhD in Operations Research from Princeton and a BA in Mathematics and Computer Science from Williams College, combining rigorous theory with hands-on engineering at scale. Based in New York, he has progressed through technical roles at Amazon and research internships like Tencent America, reflecting a career that blends academic depth with practical impact.
11 years of coding experience
6 years of employment as a software developer
Bachelor of Arts (B.A.) Mathematics and Computer Science, Bachelor of Arts (B.A.) Mathematics and Computer Science at Williams CollegeDoctor of Philosophy (PhD) Operations Research, Doctor of Philosophy (PhD) Operations Research at Princeton University
Stackoverflow
1reputation
61reached
0answers
1question
Github Skills (36)
dataflow9
dep9
portable9
python9
mxnet9
julia9
mutation9
microservices8
deep-learning8
proxies8
gpu8
machine-learning8
scala8
security8
scheduler8
Programming languages (3)
Github contributions (5)
ceisenach/torchkit
Jul 2018 - Feb 2019
Contributions:114 commits in 7 months
ceisenach/screenlogic_over_ip
Nov 2016 - Oct 2018
Contributions:15 commits, 11 pushes, 1 branch in 1 year 11 months
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