At Infosys Springboard, I architected an agentic framework for long-horizon research, using ReAct patterns to break complex tasks into multi-step plans. I also integrated RAG-based pipelines for persistent context and insight synthesis.
On my Cerebro project, I developed an autonomous multi-agent framework with LangGraph and RAG pipelines to automate complex research tasks with self-correcting logic. My other projects include a real-time collaborative dashboard and a full-stack expense tracker.
At IIT Ropar, I collaborated on data-pipeline architecture focused on training stability and model scalability. My current research interests include Agentic AI, multimodal learning, robotic intelligence, and deep learning optimization.
