Pavlos Tosidis
Researcher PhD Candidate In Deep Reinforcement Learning
Πανόραμα, Macedonia and Thrace, Greece
Summary
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Senior🎓
Top SchoolPavlos Tosidis is a PhD candidate and researcher specializing in Deep Reinforcement Learning and Robotics, with eight years of experience building lightweight deep learning models and adaptive algorithms for real-world robotic tasks. He combines expertise in active perception, robotic vision, and safe navigation with hands-on engineering using Python, PyTorch, ROS2, and Docker. His work spans projects from active face recognition to forecasting and safe robot navigation, emphasizing efficiency and deployability in dynamic environments. Based at Aristotle University of Thessaloniki, he pursues practical RL solutions that enable robots to autonomously adapt and learn, and he brings an unusual blend of IT support background and research rigor that helps bridge prototype development and robust system integration.
8 years of coding experience
5 years of employment as a software developer
Master's degree, Artificial Intelligence, Master's degree, Artificial Intelligence at Aristotle University of Thessaloniki (AUTH)Deutsche Schule Thessaloniki
German, English
Github Skills (10)
computer-vision10
robotics10
modular10
machine-learning9
deep-learning9
science5
computer-science3
sentinel2
facial-recognition1
desktop1
Programming languages (2)
Github contributions (5)
opendr-eu/opendr
Oct 2020 - Jan 2023
A modular, open and non-proprietary toolkit for core robotic functionalities by harnessing deep learning
Contributions:28 reviews, 157 commits, 23 PRs in 2 years 3 months
roboticsdeep-learningproprietarycomputer-visionmachine-learning
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