Open to opportunities

Georgios Terzoglou

@georgiosterzoglou

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Dedicated machine learning engineer passionate about innovative solutions.

Greece

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What I'm looking for

I am looking for opportunities that allow me to innovate and grow in machine learning, particularly in projects that challenge my skills and contribute to impactful 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.

Experience

Work history, roles, and key accomplishments

Current

Research Associate | Machine Learning Engineer

Current

Centre for Research & Technology Hellas

Mar 2022 - Present (3 years 3 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.

Object Detection Segmentation Deep Learning fastAPI Python TensorFlow Project Management SuperResolution

Current

Machine Learning Engineer (Part-Time Contract)

Current

Traffic Technique

Jan 2023 - Present (2 years 5 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.

Vehicle Counting Optimization Python Object Detection Real Time Systems Team Leadership Data Analysis Time Series Analysis

Thesis Research

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.

Convolutional Neural Networks Object Detection Data Visualization Deep Learning Computer Vision Python Data Mining Traffic Sign Detection

Education

Degrees, certifications, and relevant coursework

Democritus University of Thrace

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.