Ayush Pandey

AI Engineer focused on agentic AI systems, retrieval-augmented generation (RAG), and LLM infrastructure. Builds autonomous coding agents, vector databases, and multi-agent pipelines from first principles using Python, FastAPI, and the Model Context Protocol (MCP), with hands-on work across the Anthropic, OpenAI, Azure OpenAI, Google Gemini, and Groq APIs. Active open-source contributor to AI developer tooling.

AI Engineer Intern - Path.Live

(2025-10 - 2026-01)

AI Fact Validation Pipeline

• Built a multi-stage AI fact-validation system combining claim extraction, web retrieval, and LLM reasoning, integrating Azure OpenAI, LangExtract, and Tavily Search.
• Engineered robust JSON parsing, evidence mapping, and fault-tolerant response handling for reliable structured outputs.
• Designed a modular architecture separating extraction, retrieval, validation, and formatting stages for independent testing and iteration.

Bachelor of Technology (B.Tech.) - Institute of Engineering and Technology (IET), Lucknow (2028)