Gregory Eales
Machine Learning Engineer at Meta
San Diego, California, United States
Summary
👤
Senior🎓
Top SchoolGregory Eales is a machine learning engineer based in San Diego with eight years of experience building and deploying production ML systems. He has delivered measurable business impact—most notably redesigning a fraud-detection pipeline that cut fraudulent withdrawals by 75% and saved $1.3M annually—and has shipped low-latency models and RESTful services in Python and PyTorch. Gregory combines hands-on feature engineering, A/B testing and hyperparameter tuning with practical deployment skills (multi-threaded services on Linux, Flask APIs, MySQL), and has driven projects from data collection to live dynamic pricing and churn prediction. Currently at Meta after senior and lead ML roles, he pairs an academic grounding in AI/ML from the University of London with a pragmatic track record of turning research into revenue-focused products. An oft-overlooked strength is his fluency across the full ML lifecycle—analytics, experimentation, and production—allowing rapid iteration from prototype to scalable service.
8 years of coding experience
4 years of employment as a software developer
High School Diploma, High School Diploma at Stevenson SchoolBachelor's degree, Computer Science, Bachelor's degree, Computer Science at University of London
Stackoverflow
1reputation
0reached
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Github Skills (24)
markov-decision-processes10
planning10
q-learning10
monte-carlo-tree-search10
reinforcement-learning9
operations-research9
python9
cpp9
golang8
multiagent-systems6
mahjong6
20486
game-ai5
sonic4
nethack4
Programming languages (3)
Github contributions (5)
Gregory-Eales/teeny-go
Nov 2018 - Apr 2021
9x9 implementation of Alpha Go
Contributions:482 commits, 2 PRs, 395 pushes in 2 years 5 months
golangalpha-go
Gregory-Eales/ml-implementations
Feb 2019 - Jun 2023
Contributions:571 pushes, 1 branch in 4 years 4 months
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