Mohit Bhardwaj — AI Researcher

I’m a Generative AI Developer with 3+ years of experience building production-grade, LLM-powered applications that are accurate, reliable, and scalable. My core focus is on RAG systems, AI agents, and context-aware chatbots, with hands-on expertise in reducing hallucinations and improving real-world usability of large language models. At Xeliumtech Solutions, I designed and optimized Retrieval-Augmented Generation(RAG) platforms using LangChain, LangGraph, OpenAI APIs, and ChromaDB, achieving measurable impact—reducing fabricated responses by 40%, improving accuracy by 18%, and bringing hallucination rates down to under 5% in complex, real-time use cases. I’ve built intelligent AI agents capable of dynamically choosing between tools and internal reasoning, integrating external APIs such as DuckDuckGo Search and real-time weather services through ReAct prompting. My technical strengths include prompt engineering, embeddings, vector databases, tool calling and CI/CD pipelines enabling me to take my AI solutions to production levels. I enjoy solving hard problems around grounding, reasoning, and reliability in LLM systems. Earlier in my career, I built a strong foundation in software testing and performance optimization, leading load-testing initiatives that improved application performance by 50%, and working closely with cross-functional teams during UAT and client demos. I’m passionate about building trustworthy AI systems that solve real business problems and continuously exploring advancements in Generative AI, LLM orchestration

Stackforce AI infers this person is a Generative AI Developer with expertise in building scalable AI applications.

Location: Gurugram, Haryana, India

Experience: 5 yrs 6 mos