Georgios Damaskinos
Machine Learning Engineer at Meta
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolGeorgios Damaskinos is a Machine Learning Engineer based in London with nine years of experience bridging cutting-edge research and production ML systems. He earned a PhD in Computer Science from EPFL and transitioned his academic expertise into industry work at Meta, where he has been building scalable ML solutions since 2020 after interning there in 2019. His background includes research internships at IBM and Technicolor, reflecting a strong foundation in applied research and experimental systems. Georgios combines deep theoretical training with hands-on engineering, frequently moving ideas from prototypes toward production-grade deployments. Colleagues would note his academic rigor paired with a pragmatic focus on delivering measurable impact in large-scale products.
9 years of coding experience
5 years of employment as a software developer
High School Information Systems and Services, High School Information Systems and Services at 2nd Lyceum of VoulaDoctor of Philosophy (PhD) Computer Science, Doctor of Philosophy (PhD) Computer Science at EPFLMaster's degree Computer Engineering, Master's degree Computer Engineering at National Technical University of Athens
English, German, Greek, French
Stackoverflow
11reputation
478reached
0answers
1question
Github Skills (58)
intellij9
sgd9
deploying9
java8
keras-tensorflow8
linear-algebra7
artificial-intelligence7
spark7
differentiation7
scala7
gpu7
keras7
python7
c-library7
nlp6
Programming languages (3)
Github contributions (5)
gdamaskinos/fleet
Jun 2020 - Oct 2020
Online Federated Learning.
Contributions:6 commits, 3 PRs, 13 pushes in 4 months
federated-learningmachine-learningfederated
LPD-EPFL/AggregaThor
Jan 2019 - Dec 2019
Byzantine-resilient distributed SGD with TensorFlow.
Contributions:3 commits, 11 pushes, 1 branch in 10 months
deep-learningresilientsgdbyzantinetensorflow
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