RAG-powered Interviewer System
Built a structured interview system with RAG for role-specific retrieval, follow-up reasoning, and explainable feedback.
PyTorchLangChainFAISSFastAPIPostgreSQL
Focused on finetuning, RAG, agent reliability, and MCP integration.
Built a structured interview system with RAG for role-specific retrieval, follow-up reasoning, and explainable feedback.
Built a trusted agent extension with least-privilege tools and auditable execution for developer workflows.
Built domain corpora and instruction sets for cryptography, delivering finetuning and evaluation baselines.
Built an MCP gateway for multi-agent tool orchestration, permission isolation, and audit logging.