π Athens | π€ AI Researcher | π Decision Intelligence Builder
I work at the intersection of Artificial Intelligence, decision science, and education, building systems that help AI agents and humans make better, explainable decisions.
Combining research-driven thinking with a vibe-coding workflow β rapidly prototyping human-centered AI systems and decision architectures.
- π€ AI Agents & Decision Architectures
- π§© Fuzzy Logic & Multi-Criteria Decision Systems
- π AI in Education & Learning Analytics
- π Explainable AI (XAI)
- π§ Human-Centered AI Design
- βοΈ AI-assisted software development workflows
I am particularly interested in moving AI systems from prediction β reasoned decision-making.
Frameworks for integrating:
- fuzzy reasoning
- uncertainty modeling
- explainable scoring into AI agents and autonomous systems.
Research and prototypes exploring:
- adaptive learning environments
- AI tutors evaluation
- learning analytics pipelines
Experimental applications combining:
- LLM agents
- behavioral decision models
- real-world user interaction
Modern AI systems are powerful but often lack structured decision logic.
My goal is to design architectures where intelligence is not only generated, but evaluated, justified, and aligned with human goals.