I am an AI leader and engineer building GenAI, agentic systems, and predictive ML for high-stakes environments. My work spans biotech, fintech, and earlier cybersecurity programs, with a consistent bias toward systems that are transparent, measurable, and safe to use in real decision-making.
I hold a PhD in Machine Learning focused on NLP and have spent the last decade moving between research and production: from Greek-language information extraction and knowledge graph construction to biomedical copilots, deep-research agents, and regulated AI workflows.
🏢 Company EXUS
📍 Location Athens, Greece
🎓 Background PhD in Machine Learning (NLP)
🧠 Interests Multi-agent AI, biotech, fintech, NLP, knowledge graphs
🤗 Handle lighteternal on Hugging Face
| Project | What it explores |
|---|---|
| dendrite | An open-source, agentic biomedical discovery workbench for evidence-attributed research synthesis. |
| jury | Multi-agent and decision-intelligence experimentation around agent orchestration and evaluation. |
| FarFetched_NLP | Claim validation in dynamic textual environments with an entity-centric reasoning approach. |
| PENELOPIE | Greek-language open information extraction through machine translation, grounded in NLP research. |
| Automated-Knowledge-Graph-Construction | Entity extraction and automated knowledge graph construction with NLP and Neo4j. |
- PhD in Machine Learning with a focus on Natural Language Processing
- Research and applied work across biomedical AI, knowledge graphs, claim validation, and Greek-language NLP
- Publications and research artifacts available across Google Scholar and Hugging Face
🔭 Building Agentic AI for regulated decision, credit risk, and research workflows
🧩 Exploring Multi-agent systems, deep-research agents, biomedical copilots, and evaluation loops
🌍 Interested in Practical GenAI and predictive ML that augment experts without adding operational risk
From NLP research to agentic AI in biotech and fintech.