I am currently a PhD Candidate in Artificial Intelligence, focusing on bridging the gap between unstructured reasoning and structured knowledge. My ongoing academic research and upcoming papers cover:
- Graph-Based RAG Architectures: Investigating the optimization of Retrieval-Augmented Generation through Knowledge Graphs to improve context awareness in LLMs.
- Autonomous Agent Orchestration: Researching multi-agent frameworks for complex task decomposition and self-correcting reasoning loops.
- Holistic System Architectures: Developing integrated frameworks for autonomous LLM agents to manage long-term memory and networked knowledge.
- Secure AI Deployment: Exploring the challenges and methodologies of deploying large-scale models in closed-system environments.
| Project | Description | Tech Stack |
|---|---|---|
| PhDAgent_v1 | An autonomous researcher agent designed for academic literature synthesis. | Python, LangChain, LLMs |
| Orchestrator | Central engine for managing multi-agent workflows and task delegation. | FastAPI, Asyncio, Agents |
| GraphRAG | Implementing Graph-based retrieval for deep-context RAG applications. | Neo4j, NetworkX, RAG |
| MindMesh | Researching networked memory and knowledge synthesis for AI entities. | Python, Graph Theory |
- π Working on: Autonomous Research Agents & Graph Memory.
- π± Deep diving into: Advanced MLOps & Agentic Workflows.
- π¬ Ask me about: FastAPI, RAG architectures, and AI Agents.