Sharath Chandra User

I've built LLM-powered systems that connect retrieval, voice, and model-serving workflows to practical user needs. At True Renewables, I developed a LangChain and Qdrant RAG assistant embedded in the company website, with Groq streaming responses and a Python REST API deployed on AWS.

For Vani, I built a multilingual WhatsApp voice assistant helping citizens navigate 1,919 Indian welfare schemes across 12 languages. The serverless AWS Lambda pipeline used Qdrant hybrid retrieval, Cohere reranking, Azure Speech, Twilio, Docker, and caching; it was shortlisted in the top 300 of 10,000+ teams in the AWS AI for Bharat Hackathon.

I've also developed a disease prediction and care-planning platform combining 23 trained classifiers with NVIDIA NIM-hosted Llama 3.3 70B guidance, plus MindWell, a mental-health platform with LLM failover, emotion fusion, and crisis-safety triage.

I'm seeking an AI/ML or Gen AI Engineer role where I can apply LLM orchestration, retrieval systems, and production-conscious model serving.