CV

PhD

Massachusetts Institute of Technology

Operations Research (MIT ORC)

• Advisor: Prof. Dimitris Bertsimas

MEng (Diploma, 300 ECTS)

National Technical University of Athens

Electrical & Computer Engineering

• Diploma Thesis: “Adaptive Multi-Agent LLM Systems for Financial Trading: A Framework for Realistic Simulation and Dynamic Prompt Optimization”
• Supervisor: Prof. Giorgos Stamou

AI Software Engineer

Veltiston AI

• Designed an agentic RAG system for document analysis, deployed as a Microsoft Word add-in; coordinated multi-step retrieval over external document corpora with grounded citation generation.
• Developed agent orchestration for query decomposition, evidence aggregation, and answer synthesis under context-length and latency constraints.
• Contributed to a hospital operating-room scheduling platform: defined KPIs and built data pipelines from clinical systems to support downstream optimization.

Software Engineering Intern

Netcompany–Intrasoft

• Contributed to backend services for the Austrian Customs Clearance System, a large-scale public-sector software project.

AI Engineering Intern

RiverTech

• Developed machine learning models on IoT smart-home data for behavioral pattern recognition, supporting energy optimization research.

ATLAS: Adaptive Trading with LLM Agents Through Dynamic Prompt Optimization and Multi-Agent Coordination

ACL 2026 (Main Conference)

An adaptive prompt-optimization framework that improves coordination and decision quality among LLM-based trading agents in dynamic markets.

StockSim: A Dual-Mode Order-Level Simulator for Evaluating Multi-Agent LLMs in Financial Markets

Preprint (planned EMNLP 2026 System Demonstrations)

A high-fidelity, dual-mode simulation environment for reproducible evaluation of LLM agent strategies and behavior under realistic order flows.