Description

Machine Learning Engineer with more that 4 years of experience. Involved in various projects which include computer vision challenges, time series prediction, reinforcement learning application in dynamic environments and chatbots with LLM integration. For the last 2 years I worked as a RL team leader, and my responsibilities were direct communication to the client along with project design and team management.

Languages

Greek
Native or bilingual
English
Fluent

Workplace preferences

Remote only

Primarily works remotely

Qubicmind
Co-Founder - Lead Machine Learning Engineer
July 2025 - Today (11 months)
• Conceptualized and initiated an AI-focused startup aimed at innovative forecasting models, advanced RAG systems and Computer Vision products.
• Built and experimented with state-of-the-art machine learning models and prototypes.
• Developed applications and services (Android, Python, APIs) for early-stage products
• Collaborated on defining product vision, technical roadmap, and AI system design.
AI2Cyber
Lead Machine Learning Engineer
September 2023 - May 2025 (1 year and 8 months)
• Led a team in developing Reinforcement Learning models for cybersecurity, leveraging state-of-the-art algorithms to enhance threat detection.
• Designed and optimized simulation dockerized environments, improving model training efficiency and adaptability.
• Architected, developed and maintained a scalable network infrastructure for emulated environments, integrating APIs and Kafka for seamless data flow.
• Contributed to diverse projects, including Web App development (WordPress/Nginx), AWS cloud solutions, and LLM for RAG system integrations, enhancing system scalability and performance.
mSensis
Machine Learning Engineer
July 2021 - September 2023 (2 years and 2 months)
• Collaborated with a team in design, development, and testing of scalable ML pipelines for diverse applications.
• Work on an NLP project by creating embedding models and applying them to a RAG-like system. Developed a custom chatbot using clustering algorithms and LLMs, improving response accuracy and engagement.
• Built a computer vision system for face identification and ID recognition, leveraging YOLO and custom CNNs implementations for high-accuracy matching.
• Research and development of air quality measurements and forecasting on indoor sites.
• Developed time series models to predict solar panel production, optimizing energy forecasting and efficiency. Also contributed to two publications, increasing accuracy of power production prediction by 20%.