Biography
About Me
AI/ML engineer in Athens. I build AI systems, automation and software for real problems — with the research background to back it up.
Biography
I work on the gap between deep learning that looks good in a notebook and systems a business can actually rely on. Right now that means autonomous LLM agents with LangGraph, and standardising how they fetch context and call tools through MCP. What I care about is closing the distance between a demo and something that runs in production for months without anyone babysitting it — which usually comes down to orchestration, data infrastructure, and knowing whether the right answer is a model, an agent, or a hundred lines of boring reliable code.
Alongside product work I keep one foot in research — five peer-reviewed publications in AI/ML and next-generation networks — because production systems turn out better when someone in the room has read the papers.
Experience & Education
AI/ML Engineer
Oct. 2025 — PresentCognity
Architecting an enterprise Agentic Platform using LangGraph and Agent SDKs to orchestrate complex, stateful multi-agent workflows. Implementing Model Context Protocol (MCP) servers to standardize data context fetching and tool interfaces for autonomous agents. Designing autonomous LLM agents capable of advanced reasoning and dynamic tool calling.
Machine Learning Engineer & Research Associate
Sep. 2024 — Oct. 2025Four Dot Infinity
AI/ML research and development at FourDotInfinity, with a focus on 6G wireless communications and cutting-edge artificial intelligence applications.
Applied Mathematical and Physical Sciences
Oct. 2019 — Feb. 2025National Technical University of Athens(5-year program)
Explored a wide range of subjects, including mathematics, physics, computer science, and electrical engineering.
IT Support Analyst
Mar. 2020 — Jan. 2021Viacar S.A.
Managed IT procurement, setup, maintenance, and support to ensure smooth operations and resolve complex technical issues.
Expertise
Focus Areas
Deep Learning
Neural networks for intelligent systems.
Reinforcement Learning
DRL for decision-making and control.
LLMs & RAG
Large language models and retrieval systems.
Federated Learning
Privacy-preserving distributed ML.
MLOps
Production ML pipelines and deployment.
Multi-Agent Systems
Distributed AI for complex coordination.