GeorgeĀ Velentzas
Research Intern at Intelligent Robotics and Automation Laboratory (IRAL, NTUA)
London, England, United Kingdom
Summary
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Seniorš
Top SchoolGeorge Velentzas is a research-focused engineer blending an MEng in Electrical Engineering and Computer Science with advanced studies in applied mathematics and data science, and nine years of hands-on experience in reinforcement learning and robotics. Currently a Research Intern at NTUA's Intelligent Robotics and Automation Laboratory, he designs and implements RL algorithms for the EU-funded BabyRobot project, integrating computational neuroscience perspectives with practical behavioral robotics. His toolkit spans Bayesian methods (Gaussian Processes, GP-UCB), memory-augmented networks and deep learning architectures (LSTM, RNN, NTM, GAN), and formal frameworks like MDPs/PAMDPs and multi-armed bandits. Having trained at Vrije Universiteit Brussel's EurAI summer school and held research roles across Sorbonne, KCL and industry, he bridges rigorous research with applied ML engineering. Notably, he complements algorithmic design with memory augmentation and adaptation strategies, reflecting a strong interest in biologically inspired, sample-efficient learning.
9 years of coding experience
MEng, Electrical Engineering and Computer Science, 8.34/10, MEng, Electrical Engineering and Computer Science, 8.34/10 at National Technical University of AthensSummer School - Advanced Courses on Artificial Intelligence - EurAI, Reinforcement Learning, Summer School - Advanced Courses on Artificial Intelligence - EurAI, Reinforcement Learning at Vrije Universiteit BrusselMaster of Science - MS, Data Science, Master of Science - MS, Data Science at King's College London
Greek, EnglishProgramming languages (2)
Github contributions (5)
GeoVelentzas/RoboticsSpecializationUPenn
Nov 2017 - Jan 2018
Contributions:28 commits, 27 pushes, 1 branch in 2 months
GeoVelentzas/DeepLearningProjects
Mar 2017 - Sep 2017
Contributions:26 commits, 26 pushes, 1 branch in 5 months
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