Abhishek Rajbhar

I'm Abhishek Rajbhar, an AI/ML Engineer passionate about building intelligent systems powered by Large Language Models, Agentic AI, and Graph RAG architectures.

My primary interests lie in LLM applications, multi-agent systems, retrieval-augmented generation, and production-ready AI applications. I enjoy designing intelligent systems that combine retrieval, reasoning, orchestration, and automation to solve real-world problems.

Over the past few years, I have worked on projects involving multi-agent workflows, code intelligence systems, prompt engineering platforms, AI-powered analytics tools, and deep learning applications. My focus is not only on building AI models but also on creating complete end-to-end systems that are scalable, reliable, and deployable.

I was also part of the winning team at Smart India Hackathon 2025, where we developed a solution for a problem statement presented by Bharat Electronics Limited (BEL). Competing against teams from across the country and solving a real-world industry challenge strengthened my interest in engineering practical, impactful technology solutions.

Beyond AI and Machine Learning, I'm particularly interested in the application of intelligent systems to autonomous platforms, drone swarms, and defense technology — exploring how advances in LLMs, multi-agent systems, and autonomous decision-making can contribute to robotics, security, and next-generation defense systems.