Biography
About Me
AI/ML Engineer & Researcher focused on next-generation networks and intelligent systems.
Biography
My professional passion lies in bridging the gap between cutting-edge Deep Learning and robust, production-grade systems. Currently, I am focused on deploying autonomous LLM agents using frameworks like LangGraph. Additionally, I am working on standardizing communication via protocols like MCP. I thrive on tackling complex orchestration challenges and transforming theoretical models into reliable, high-performing decision-making platforms that drive real-world efficiency. Beyond production systems, I enjoy researching diverse machine learning paradigms, including Federated Learning, Reinforcement Learning, and beyond.
My research focuses on applying machine learning and AI to solve complex problems in 6G networks and smart systems, with emphasis on deep learning for network optimization and energy efficiency.
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
Research Interests
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.