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@georgiosterzoglou
Dedicated machine learning engineer passionate about innovative solutions.
I am a dedicated machine learning engineer with a passion for developing innovative solutions that push the boundaries of technology. My journey in this field has been marked by a commitment to staying at the forefront of machine learning advancements, as demonstrated through my freelance work and diverse projects. Currently, I work as a Research Associate at the Centre for Research & Technology Hellas, where I have developed object detection, segmentation, and classification models for real-world applications.
In my role, I led the PVGnosis project, focusing on detecting solar panel defects using drone imagery and deep learning techniques. My contributions extend to deploying FastAPI services for real-time machine learning access and participating in multiple Horizon projects. Additionally, I have been involved in developing an AI-powered vehicle counting system and optimizing traffic light adjustments, significantly enhancing traffic flow in Thessaloniki. My academic background includes a Master’s degree in Electrical Engineering and Computer Science from Democritus University of Thrace, where I honed my skills in deep learning and computer vision.
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Work history, roles, and key accomplishments
Traffic Technique
Jan 2023 - Present (2 years 10 months)
Developed an AI-powered vehicle counting system using drone imagery. Led a team to optimize real-time adaptive traffic light adjustments using AI, expanding the system from 4 to 45 roads in Thessaloniki.
Centre for Research & Technology Hellas
Mar 2022 - Present (3 years 8 months)
Developed object detection, segmentation, and classification models for real-world applications. Led the PVGnosis project to detect solar panel defects using drone imagery and deep learning. Deployed FastAPI services for real-time ML access and contributed to multiple Horizon projects.
Democritus University of Thrace
Oct 2021 - Nov 2022 (1 year 1 month)
Proposed a method to calculate the distance of different objects and developed deep learning models for object detection, segmentation, and recognition, focusing on traffic sign detection and lane segmentation.
Degrees, certifications, and relevant coursework
Master of Science, Electrical Engineering and Computer Science
2021 - 2022
Focused on Convolutional Neural Networks for Autonomous Driving, proposing methods for object distance calculation and developing deep learning models for object detection, segmentation, and recognition, particularly in traffic sign detection and lane segmentation.
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