Available to hire
Data Science & AI/ML Developer specializing in automation and deep learning. Dedicated to engineering solutions that tackle challenges in both research and industry. Experienced in building end-to-end automation systems using AI, both locally and on cloud infrastructure. Capable of developing and optimizing models for scalability and delivering results in data-intensive environments. I’m passionate about learning and love diving into data to solve meaningful problems. Passion, curiosity, problem perception, and collaboration are what truly drive impact.
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Beginner
Language
English
Fluent
Greek, Modern
Fluent
Spanish; Castilian
Intermediate
Work Experience
Data Science & AI Developer at Caretta Research
May 1, 2025 - PresentEngineered an automated parallelized document processing system to reduce manual data entry by orchestrating OCR and LLM extraction tasks with Celery and Redis, while implementing fuzzy matching to reconcile entities.
Architected a scalable ETL pipeline (Bronze/Silver/Gold) using PySpark/GCP, transforming unstructured raw data into reliable, analytics-ready datasets for downstream AI applications.
Built an end-to-end automation system that retrieves audio files from Google Drive, utilizing Google Chirp for transcription/diarization and LLMs for summarization to generate formatted Word documents.
Developed a generative content workflow that monitors database updates and feeds modified records to an LLM to generate company profiles and news summaries, eliminating the need for manual content creation.
Integrated external market data providers by engineering a daily automation pipeline to monitor updates, selectively ingesting specific data points and syncing them with the internal database.
WIL Master’s Thesis Intern at GKN Aerospace Sweden AB
January 1, 2024 - June 1, 2024Conducted research to enhance anomaly detection in the Laser Metal Deposition (LMD) process using transformer-based architecture.
Developed a novel use of the classification token in a custom Vision Transformer-decoder architecture, achieving 99.78% accuracy on a complex dataset with minimal labelling.
Increased the reliability of the company’s real-time CNN models by comparing their predictions with those from the newly developed transformer-based model.
Documented research and delivered oral presentations to both University West and the GKN Aerospace Sweden AB department, along with submitting a comprehensive thesis report.
Gained hands-on experience with AI applications in the additive manufacturing sector, solving real world problems and improving research methodologies through practical experimentation.
Education
MSc in Artificial Intelligence and Automation at University West
August 1, 2023 - June 1, 2024Master's thesis: “Investigating the Performance of a Vision Transformer Model for Anomaly Detection in Laser Metal Deposition Imaging” - Published on DiVA Portal, 2024. (ID: diva2:1886506).
GPA Equivalent: 3.9 / 4
(Converted from the A–F grading scale used in Sweden and calculated based on individual course grades and credits, as Grade Point Average (GPA) and other ranking systems are not used in Sweden)
BSc in Industrial Engineering and Management at International Hellenic University
October 1, 2015 - February 1, 2021Bachelor's thesis: “Use of Depth Camera and Application Development for Monitoring the Basic Joints of the Human Body.”
GPA Equivalent: 3.1 / 4
(Converted from the 0–10 grading scale used in Greece to the 4.0 GPA scale)
European Exchange Program in Aerospace Engineering at UPV Universitat Politécnica de València
February 1, 2020 - June 1, 2020European Exchange Program in Electrical Engineering and Automation at Czech University of Life Sciences Prague
February 1, 2018 - June 1, 2018Qualifications
AI Agents Fundamentals & Fundamentals of LLMs
February 1, 2025 - February 5, 2026A Deep Understanding of Deep Learning
November 1, 2024 - February 5, 2026Industry Experience
Software & Internet, Professional Services, Media & Entertainment, Computers & Electronics
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Beginner
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