Mike Kim
Data Scientist
Virginia, United States
Summary
🤩
Rockstar🎓
Top SchoolMike Kim is a data scientist with a decade of experience building and leading applied ML projects across startups, government contractors, and research organizations. Currently at a stealth insurtech startup and formerly a Lead Data Scientist at Booz Allen, he designs and deploys models spanning NLP, computer vision, time series, search, and quantum annealing experiments, and has production experience with Hadoop, Spark, and MongoDB. He founded Gradient Ascent LLC to commercialize competition-grade analytics and data-driven recruitment tools, and has a history of winning Kaggle-style competitions and hackathons. His work at MITRE and other research roles includes algorithm development for aviation trajectory clustering, fuel-burn validation, and text-mining pipelines, reflecting strong statistical grounding from CMU and UW–Madison and ongoing PhD work at Virginia Tech. Based in Virginia, he blends rigorous academic training with practical, production-focused engineering and a taste for building clever solutions while “gazing at the Golden Gate.”
10 years of coding experience
5 years of employment as a software developer
MS, Economics, MS, Economics at University of Wisconsin-MadisonPhD, Industrial and Systems Engineering, PhD, Industrial and Systems Engineering at Virginia TechBS, Statistics, BS, Statistics at Carnegie Mellon University
Github Skills (9)
relational9
database9
database-management9
dbms8
sql8
robotics5
javascript4
react4
autonomous-agents1
Programming languages (3)
Github contributions (5)
mkpjnx/noisepage-pilot
Jan 2022 - Oct 2022
Because "pilot" was a better name than "brain"
Contributions:48 pushes, 12 branches in 9 months
brainjavascriptreactpilot
mkpjnx/ObliviousSort
Nov 2020 - May 2021
Contributions:47 pushes, 3 branches in 6 months
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