Saikat Banerjee

I’m an MSc Computer Science candidate specializing in Agentic AI and Intelligent Automation, focused on turning complex research into scalable, state-managed architectures. I build production-ready autonomous systems using LangGraph and Docker to drive Digital Transformation and improve Operational Efficiency.

As a Lead AI Developer (Independent Projects), I’ve designed autonomous multi-agent solutions end-to-end. I created a 4-agent Adaptive Tutor Agent with LangGraph, including a custom Checkpointer for persistent state that optimized data management efficiency by 30%;

I also built a Recursive Research Agent that targets 100% data accuracy and improved search precision by 40% using recursive state loops and CoT logs for transparency. Beyond that, I architected an Agentic SEO multi-agent platform that reduced operational research time by 70% and used Docker for scalable deployment with Supabase for robust data persistence, while projects like Seed to Scale and Agentic CSV Data Analyst emphasize auditability, feasibility, and reliable automation.