Curriculum Vitae

Professional Summary

Senior Data Scientist and AI Engineer with a PhD in Applied AI and 3+ years of commercial experience. Specialized in AI multi-agent systems, LLM-based workflows, RAG/GraphRAG, and Computer Vision, with strong end-to-end ownership from research to production. Experienced across marketing, agriculture, pharmaceuticals, oil & gas, transportation, and manufacturing. Strong communicator with stakeholders and a product-oriented mindset.

💼 Experience

March 2025 - Present

Data Scientist | Satalia (Athens, Greece / remote for London)

• Designed and deployed LLM-based multi-agent systems using Google ADK, Microsoft AutoGen, LangChain, and MCP for WPP.
• Designed LLM-as-a-judge paradigms for assessing RAGs and Agentic workflows.
• Compared RAG and GraphRAG pipelines with custom document parsing.
• Deployed agents via A2A, GCP Cloud Run, and CI/CD pipelines.
• Developed Chainlit-based chatbot UIs for evaluation and internal demos.
• Benchmarked agent collaboration strategies and GraphRAG vs RAG approaches.
• Contributed to internal R&D on agent architectures, tool orchestration, prompt design, and evaluation.
• Shared AI insights through internal documentation and technical blog posts.
• Designed an Image Retrieval pipeline for Apple.

June 2023 - February 2025

AI and Computer Vision Engineer | Track32 (Ede, Netherlands)

• Responsible for the continuous improvement of 5 ML services through model improvement and addition of production-ready features for image processing and comprehensive statistical reporting.
• Lead data scientist of the Seedling Measurement App of Track32, currently used by 14 clients and supporting 28 crops.
• Packaged AI models for inference.
• Set up and maintained the MLOps pipeline for experiment tracking and reproducibility, data versioning, and model querying for automatic model release.
• Developed active learning and automatic pre-labeling strategies.
• Wrote project proposals and was responsible for internal R&D.
• Supervised Master’s students for their internships.
• Presented monthly to stakeholders from Syngenta.

April 2022 - April 2023

Postdoctoral Research Associate | CMAC (Glasgow, UK)

• Improved decision-making in medicines manufacturing by developing AI models that correlate particle microscopy data with bulk powder properties.
• Worked on embedding visualization and similarity for new inference points.
• Developed GUI app using PyQt and deployed models so that they can be used by non-technical lab personnel.
• Presented monthly to stakeholders from AZ, UCB, Takeda, Pfizer, Roche, Lilly.
• Deliverables: Technical report, workshop with attendance of 250 individuals.

October 2018 - March 2022

Research Assistant & Teaching Assistant | University of Strathclyde (Glasgow, UK)

• Worked in R&D projects, developing image and video recognition AI models to automate visual inspection processes in oil and gas, agriculture, transportation, and manufacturing sectors.
• Specialized in domain adaptation, style transfer image generation, data augmentation, object detection, and instance segmentation.
• Assisted 2nd year students in C++ lab exercises and final project.
• Taught fundamentals of object-oriented programming.

🎓 Education

• PhD in Electronic and Electrical Engineering (2023)
  University of Strathclyde, Glasgow, UK
• MEng in Electrical and Computer Engineering (2018)
  National Technical University of Athens, Greece

🛠️ Relevant Skills

• Core Programming: Python, C++, Unix Bash
• Agentic AI & LLMs: Google ADK, AutoGen, A2A, LangChain, Model Context Protocol (MCP)
• Data Science / ML: PyTorch, Scikit-learn, Pandas, NumPy, requests
• MLOps & DevOps: AWS, GCP, Docker, Git, CI/CD, ClearML

🗣️ Languages

• Greek: Native
• English: Professional
• French: B2
• Spanish: Basic

🚴 Interests

• Competing in triathlon races, hiking, playing guitar, and chess.