AI Engineer with 1+ years in Data Science & Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly motivated and results-driven AI Engineer with a Master's degree in Data Science & Information Technologies and a Bachelor's in Physics. Possessing 1.5 years of experience in research and applied roles, I excel in leveraging machine learning, deep learning, and statistical modeling for complex data analysis and predictive tasks. My expertise spans spatial interpolation, risk assessment, satellite change detection, and knowledge graph completion, utilizing a robust skill set including Python, PyTorch, TensorFlow, and various AI/ML tools. I am passionate about applying advanced analytical techniques to real-world challenges and contributing to innovative projects.
National Kapodistrian University of Athens (NKUA)
M.Sc. · Data Science & Information Technologies
August 1, 2025 – Present
National Kapodistrian University of Athens (NKUA)
B.S. · Physics
August 1, 2019 – June 30, 2024
Centre for Marine Research (HCMR)
Research Associate
November 1, 2024 – November 1, 2025
Athens, Attica Region, Greece
Greek Army
Soldier
January 1, 2023 – January 1, 2024
Athens, Attica Region, Greece
Thesis: Heat Risk Assessment for Cities in Greece
June 1, 2026 – Present
Evaluated urban thermal risk across local climate zones by applying K-means clustering on LST, NDVI, temperature and population data.
View ProjectAgentic AI framework for autonomous financial analysis
June 1, 2026 – Present
Architected a DeepEval-validated multi agent investment committee, by engineering a decision pipeline for bias mitigation and realistic risk management.
View ProjectCLIP for Satellite Change Detection
June 1, 2026 – Present
Engineered a satellite change detection framework using zero shot CLIP VIT and a localized Mistral LLM to automate ground truth labeling and calibrate semantic thresholds.
View ProjectKnowledge Graph Completion & Representation Learning
June 1, 2026 – Present
Developed a Knowledge Graph Completion benchmark utilizing a Qwen LLM pipeline for semantic representation, achieving superior classification accuracy
High Scale Analytics & Algorithm Optimization
June 1, 2026 – Present
Conducted Locality Sensitive Hashing and DTW for Time Series
Big Data Analytics Certification
University of Patras
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from academic theses to personal AI frameworks, indicates a strong drive for continuous learning and exploration. The volunteer experience as a firefighter suggests a commitment to community and teamwork. The academic background and project focus align well with an innovative, research-oriented culture often found in AI engineering roles.
Soft Skills & Operational Fit
The candidate's experience as a Research Associate and in the Greek Army suggests discipline, attention to detail, and the ability to work in structured environments. The tutoring experience indicates communication and mentorship skills. Project descriptions are clear and concise, demonstrating good technical communication.