Dimos Kompitselidis

About

I am an Electrical and Computer Engineering graduate with a master's degree, specializing in machine learning and software engineering. My passion lies in building innovative solutions and conducting research that addresses real-world challenges. This drive has led me to participate in multiple hackathons, where I've applied technical and leadership skills, helping my team to develop practical applications, wining the Open Innovation Competition. Additionally, I served as a volunteer with the Erasmus Student Network (ESN) in Thessaloniki, as I really enjoy intercultural communication.

Python Keras PyTorch Pandas Matplotlib Scikit-learn

My Expertise

Machine
Learning

I have experience with the complete machine learning lifecycle, from data acquisition and preprocessing to model deployment and evaluation. My portfolio includes projects involving large-scale data processing and reinforcement learning applications for game environments.

Computer
Vision

I specialize in computer vision, solving real-world challenges. I've developed systems for object detection, recognition, and tracking, including a framework for drone detection and surveillance. My experience includes implementing state-of-the-art algorithms utilizing optical flow, GANs, and autoencoders.

Software
Engineering

I have experience with the full software development lifecycle in agile environments during software engineering I and II. My background includes software testing and quality assurance practices. I've also developed frontend projects where I led client communication and ensured satisfaction.

Experience

June 2024 - Now
Machine Learning Engineer | D-Cube

Mar 2024 - May 2024
AI Research Intern | D-Cube

Jul 2023 - Oct 2023
Automated YouTube Content Creator

Projects

Drone Detection and Tracking

A framework optimizing for drone detection with a two-stream detection model and a tracking module to improve detection accuracy by filtering false positives.

AI-Driven Drug Classification

Machine learning project using classifiers to accurately predict drug types based on patient characteristics

Billionaire Analysis through NNs

Applied neural networks to classify billionaires by wealth origin

Professional Website for Healthcare

End-to-end development of a dental service website

Innovative AI Solutions in Practice

A series of AI projects from gymnasium

Software Cycle Project

Software engineering project involving the full software cycle.