Ansh Agnihotri

Right now I’m working as an AI NLP Intern at Taxmann in New Delhi, building Python backend parsing utilities to clean and structure messy datasets for LLM orchestration.

I’m also developing an enterprise-grade RAG-based legal search engine using Milvus (Zilliz) so semantic queries can scale across millions of high-dimensional embeddings.

Earlier, I interned at Zidio Development, where I built and documented REST APIs with Python and FastAPI for user profile and authentication flows, plus modular backend logic to reduce API response errors.

On my own projects, I built a scalable medical AI app (Flask + LangChain + Groq API + Pinecone) with a custom-prompted RAG architecture, and an AI-powered mock interviewer with async voice synthesis and a FAISS-driven prompt flow.