Bhupender Sharma

I’m an AI Engineer focused on Generative AI & Agent Systems, building LLM-powered products that hold up in production. AWS Certified ML Engineer, I ship real systems like RAG pipelines, multi-agent orchestration, and LLM Gateway layers—always with reliability, safety, and measurable outcomes.

I led multi-agent orchestration at Lab49 using LangGraph and the Claude API, automating 65% of compliance review cycles with human-in-the-loop validation while cutting average review time from 4 hours to 30 minutes. I also built a production RAG pipeline across 500K+ financial documents (92% retrieval accuracy via hybrid search, query expansion, and re-ranking), and an LLM Gateway with provider failover, prompt versioning, token caching, and RBAC—serving 10K+ concurrent users at sub-200ms P95. Earlier, I delivered full-stack workflow automation that reduced processing from 3 days to 20 minutes and built monitoring with an ELK stack to cut incident response time by 40%; I later solo-founded Kareeb, a multi-agent, AI-native wellness app that reached 1K+ users.