Ansshika Garg

I’m a results-driven AI Engineer focused on building end-to-end AI pipelines, LLM-powered applications, and semantic search systems. I work across RAG architecture, prompt engineering, conversational AI agents, and deployment of production-ready AI APIs.

At CDAC, I’ve been working as a Project Associate on a large-scale, mission-critical system for a Government of India defence client. I collaborate with cross-functional technical teams to support end-to-end system design, integration, and deployment workflows under strict compliance, while maintaining reliability and data integrity.

In my projects, I built MediBot, a symptom-to-medicine recommendation system using embeddings, semantic vector search, and LLM inference deployed via Flask REST APIs. I also developed an AI Wedding RSVP Voice Agent with an end-to-end conversational voice pipeline (Speech-to-Text → LLM → Text-to-Speech), optimized for sub-second multi-turn Hinglish responses and designed for scalable, reliable telephony delivery.