About Me
AI Engineer at Agile Actors and Researcher with the AUEB Natural Language Processing Group, specializing in the end-to-end development of Generative AI and Multimodal systems. Expert in architecting Agentic RAG pipelines for complex image and document retrieval, with a deep research background in Multimodal LLMs applied to the biomedical domain. Proven track record in developing high-accuracy Diagnostic Captioning systems. Passionate about bridging the gap between cutting-edge Deep Learning research and scalable, production-ready AI solutions.
Research Interests
- Agentic Reasoning: Researching and implementing multi-agent systems using autonomous planning and self-correction loops.
- Multi-Agent Orchestration: Investigating decentralized coordination and conflict resolution within agent ecosystems.
- Model Context Protocol (MCP): Researching standardized infrastructure for universal interoperability between LLMs and enterprise data tools.
- Reinforcement Learning (RLHF/DPO): Investigating Direct Preference Optimization and Reward Modeling for model-human alignment.
- Agent-to-Agent Protocols: Investigating standardized communication layers for cross-platform agent collaboration.
- Foundation Vision Models: Researching self-supervised pre-training for universal image and video representation.
Powered by Jekyll and Minimal Light theme.