I am Dimitris Eleftheriou, a data science and AI engineer focused on turning CTI and business data into actionable insights. I lead research and development of multi-agent AI systems, optimizing models and pipelines with Python, LangChain, and PyTorch. I enjoy collaborating with security professionals and stakeholders across Europe to deliver measurable improvements in accuracy and efficiency. When I’m not coding, I enjoy teaching and sharing knowledge through workshops and courses. I thrive in cross-functional teams, translating complex data challenges into practical solutions and scalable architectures. My work spans R&D, data engineering, and hands-on model development, with a passion for empowering analysts and decision-makers through robust AI tools and clear explanations.

Dimitris Eleftheriou

I am Dimitris Eleftheriou, a data science and AI engineer focused on turning CTI and business data into actionable insights. I lead research and development of multi-agent AI systems, optimizing models and pipelines with Python, LangChain, and PyTorch. I enjoy collaborating with security professionals and stakeholders across Europe to deliver measurable improvements in accuracy and efficiency. When I’m not coding, I enjoy teaching and sharing knowledge through workshops and courses. I thrive in cross-functional teams, translating complex data challenges into practical solutions and scalable architectures. My work spans R&D, data engineering, and hands-on model development, with a passion for empowering analysts and decision-makers through robust AI tools and clear explanations.

Available to hire

I am Dimitris Eleftheriou, a data science and AI engineer focused on turning CTI and business data into actionable insights. I lead research and development of multi-agent AI systems, optimizing models and pipelines with Python, LangChain, and PyTorch. I enjoy collaborating with security professionals and stakeholders across Europe to deliver measurable improvements in accuracy and efficiency. When I’m not coding, I enjoy teaching and sharing knowledge through workshops and courses.

I thrive in cross-functional teams, translating complex data challenges into practical solutions and scalable architectures. My work spans R&D, data engineering, and hands-on model development, with a passion for empowering analysts and decision-makers through robust AI tools and clear explanations.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
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Language

Greek, Modern
Fluent
English
Fluent

Work Experience

Lead AI Engineer – Project Manager at Sphynx Technology Solutions AG
September 1, 2024 - Present
Led 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 Scientist at Circana
August 1, 2024 - September 6, 2025
Engineered 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 at Big Blue Data Academy
August 1, 2024 - September 6, 2025
Teaching compelling educational content relating to Data Science field such as Python, Statistics, Artificial Intelligence and Machine Learning.
Data Analytics Consultant at European Dynamics
October 1, 2021 - September 6, 2025
R&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, 2025
R&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.

Education

MSc in Artificial Intelligence and Deep Learning at University of West Attica
March 1, 2023 - May 1, 2024
MSc in Statistics at Athens University of Economics and Business
October 1, 2018 - March 1, 2020
BSc in Mathematics at National and Kapodistrian University of Athens
October 1, 2011 - June 1, 2017

Qualifications

Accelerating End-to-End Data Science Workflows - NVIDIA
January 11, 2030 - September 6, 2025
Building Transformer-Based Natural Language Processing Applications - NVIDIA
January 11, 2030 - September 6, 2025
Generative AI with Diffusion Models - NVIDIA
January 11, 2030 - September 6, 2025
TensorFlow Developer Specialization - NVIDIA
January 11, 2030 - September 6, 2025
DeepLearning.AI Introduction to Machine Learning in Production
January 11, 2030 - September 6, 2025
Neural Networks and Deep Learning - DeepLearning.AI
January 11, 2030 - September 6, 2025
Spark and Python for Big Data with PySpark
January 11, 2030 - September 6, 2025
Introduction to Machine Learning in Production - DeepLearning.AI
January 11, 2030 - September 6, 2025
Python OOP Course: Master Object-Oriented Programming - Udemy
January 11, 2030 - September 6, 2025

Industry Experience

Software & Internet, Education, Professional Services, Media & Entertainment, Government, Computers & Electronics