Available to hire
AI Engineer with 6+ years turning business needs into working LLM and GenAI systems, owning the full lifecycle from problem framing and research to robust, production-ready implementation. Specialized in multi-agent pipelines, agentic tool use, RAG, and fine-tuned models.
Currently leading AI R&D for cybersecurity applications at Sphynx Technology Solutions, including Swiss and European research initiatives, with measurable impact such as 70% faster analytics pipelines and ~50% fewer customer-reported errors.
Skills
Experience Level
Expert
Expert
Expert
Expert
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Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Language
Greek, Modern
Fluent
English
Fluent
German
Beginner
Work Experience
Lead AI Engineer at Sphynx Technology Solutions AG
September 1, 2024 - PresentLed end-to-end development of multi-agent LLM/LMM systems for cybersecurity use cases, including CTI extraction and STIX automation, agentic hardware asset identification from images, and an AI Vulnerability Analyzer. Engineered service architecture using FastAPI for ingestion and asynchronous orchestration with Celery and RabbitMQ, persisted outputs via distributed tasks, and packaged deployments with Docker Compose. Built custom training datasets via automated crawling and fine-tuned open-weight models with designed evaluation metrics to improve extraction quality. Currently leading SOC automation and LLM-generated cyber range initiatives, and coordinating Swiss/European research collaborations.
Lead AI Engineer – Project Manager at Sphynx Technology Solutions AG
September 1, 2024 - PresentLed the R&D of a multi-agent pipeline leveraging LLMs and LMMs for advanced Cyberthreat Intelligence (CTI) extraction from unstructured data using Python, LangChain and Ollama. Developed CTI datasets from official and dark web reports using Python, Selenium, and BeautifulSoup. Fine-Tuned LLMs to optimize their performance in extracting CTI objects from text using PyTorch, Transformers and Unsloth. Developed LLMs and LLMs multiagent architectures using LangChain and LangGraph. Developed new evaluation metrics of ML models in CTI identification using Python. Directly assisted Cyber security Analysts by identifying new vulnerabilities in real time. Project management in Swiss/ European research projects related to AI in Cyber Security.
Data Science Instructor at Big Blue Data Academy
August 1, 2024 - September 6, 2025Teaching compelling educational content relating to Data Science field such as Python, Statistics, Artificial Intelligence and Machine Learning.
Data Scientist at Circana
August 1, 2024 - September 6, 2025Engineered a novel methodology in estimating accurate marketing campaign effectiveness using Python and MLlib. Resulting in 20% increase in accuracy of results and 50% decrease in computational time. Development of LLM enhanced chatbot using RAG for results demonstrations/explanations to customers. Integrated with Circana’s SQL Database for direct access of campaign results using Python and LangChain. Optimized ETL pipelines using PySpark, resulting in 50% decrease of computational time. Re-developed KPIs for measuring marketing campaign effectiveness using PySpark. Resulted in higher customer satisfaction and 70% percent decrease in computational time.
Data Science Instructor (part-time) at Big Blue Data Academy
September 1, 2023 - August 31, 2024Taught Python, statistics, machine learning, and AI to 100+ professionals and students alongside full-time employment.
Data Scientist at Circana
October 1, 2021 - August 31, 2024Prototyped and helped deliver an LLM-powered conversational RAG analytics product integrated with a company SQL database for natural-language campaign analytics. Engineered campaign attribution and KPI methodology using MLlib to increase accuracy by 20% while cutting computation time by half. Modernized large-data ETL/ML workflows in PySpark (preprocessing, feature extraction, outlier detection, training), reducing end-to-end processing time by ~50% and cutting KPI computation time by 70%, also reducing customer-reported KPI errors by ~50%.
Data Analytics Consultant at European Dynamics
October 1, 2021 - September 6, 2025R&D of AI models -utilizing BERT encoders - for extracting skills acquired from unstructured educational programs curriculums and skills needed from unstructured job descriptions using PyTorch and Transformers. Achieving >90% accuracy. Project management of European Commission’s project (AI4EDUCAT).
Statistician (Internship) at Linked Business
August 1, 2020 - September 6, 2025R&D in Market Segmentation analysis using Python. Utilized BERT encoders to analyze unstructured text descriptions of Greek companies' business codes. Developed Survival Analysis models of Greek enterprises utilizing their economic data using R.
Data Scientist at European Dynamics
March 1, 2020 - October 31, 2021Built BERT-based multi-label classification models mapping European education programs to occupations for the European Commission (AI4EDUCAT), achieving 93% accuracy in extracting skills from unstructured curricula and job descriptions. Supported project management and stakeholder alignment across internal and external teams.
Education
MSc in Artificial Intelligence and Deep Learning at University of West Attica
March 1, 2023 - May 1, 2024MSc in Statistics at Athens University of Economics and Business
October 1, 2018 - March 1, 2020BSc in Mathematics at National and Kapodistrian University of Athens
October 1, 2011 - June 1, 2017MSc, Artificial Intelligence & Deep Learning at University of West Attica
January 1, 2023 - January 1, 2024MSc, Statistics at Athens University of Economics and Business
January 1, 2018 - January 1, 2020BSc, Mathematics at National and Kapodistrian University of Athens
January 1, 2011 - January 1, 2017Qualifications
Accelerating End-to-End Data Science Workflows - NVIDIA
January 11, 2030 - September 6, 2025Building Transformer-Based Natural Language Processing Applications - NVIDIA
January 11, 2030 - September 6, 2025Generative AI with Diffusion Models - NVIDIA
January 11, 2030 - September 6, 2025TensorFlow Developer Specialization - NVIDIA
January 11, 2030 - September 6, 2025DeepLearning.AI Introduction to Machine Learning in Production
January 11, 2030 - September 6, 2025Neural Networks and Deep Learning - DeepLearning.AI
January 11, 2030 - September 6, 2025Spark and Python for Big Data with PySpark
January 11, 2030 - September 6, 2025Introduction to Machine Learning in Production - DeepLearning.AI
January 11, 2030 - September 6, 2025Python OOP Course: Master Object-Oriented Programming - Udemy
January 11, 2030 - September 6, 2025NVIDIA: Accelerating End-to-End Data Science Workflows
January 11, 2030 - July 19, 2026NVIDIA: Transformer-Based NLP Applications
January 11, 2030 - July 19, 2026NVIDIA: Generative AI with Diffusion Models
January 11, 2030 - July 19, 2026DeepLearning.AI: TensorFlow Developer Specialization
January 11, 2030 - July 19, 2026DeepLearning.AI: Intro to ML in Production
January 11, 2030 - July 19, 2026DeepLearning.AI: Neural Networks and Deep Learning
January 11, 2030 - July 19, 2026Industry Experience
Software & Internet, Education, Professional Services, Media & Entertainment, Government, Computers & Electronics
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
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Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
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