Kenneth Oliphant
Machine Learning Engineer at Penn Interactive
San Diego, California, United States
Summary
👤
Senior🎓
Top SchoolKenneth Oliphant is a Machine Learning Engineer based in San Diego with 10 years of experience building cloud-native, production-ready ML and simulation systems. He has led applied research and engineering efforts across aerospace-focused digital twins and reinforcement-learning network optimization (TANS and Neural-Nut) and built anomaly detection, geolocation, and reliable data-transfer platforms. Kenneth blends hands-on ML model work (TensorFlow, XGBoost, random forests) with low-level systems engineering in C++ and cloud orchestration, having also designed large-scale automated bot infrastructures at Amazon Game Studios. A former Marine Corps sergeant, he brings disciplined operational rigor and documentation practices to complex, safety- and mission-critical projects. Colleagues can expect a pragmatic engineer who learns by doing, favors cloud-first deployments, and quietly enjoys cookie-fueled problem solving.
10 years of coding experience
7 years of employment as a software developer
Bachelor’s Degree, Computer Science, Bachelor’s Degree, Computer Science at National University
English, Korean
Github Skills (124)
benchmark10
python10
metadata10
deep-learning10
ml10
neural-network10
data-science10
deep-q-learning10
csv-parser10
tensorflow10
jmespath10
csv-reader10
machine-learning10
deep-neural-networks10
scheduler9
Programming languages (6)
Github contributions (5)
WorksWellWithOthers/lost_count
May 2016 - Jan 2018
Contributions:120 pushes, 1 branch, 15 comments in 1 year 7 months
llSourcell/Game-AI
Mar 2017 - Dec 2020
Game AI for Machine Learning for Hackers #3
Contributions:2 PRs in 3 years 9 months
pythongame-aimachine-learninghackersartificial-intelligence
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