Kanad Shee, a Full-Stack AI Engineer building scalable web applications and AI-powered systems using Next.js, MERN, LangChain, LangGraph, and modern LLM technologies. Focusing on clean architecture, reliability, and performance, and developing products that remain maintainable with increasing complexity.

Experience spans end-to-end product development, from frontend experiences and backend services to real-time systems, microservices, deployment pipelines, and production infrastructure. A strong emphasis on system design, scalability, and operational excellence ensures software remains efficient, resilient, and easy to evolve.

Recent work includes RAG applications, AI agents, workflow automation, and LLM-powered products. Currently expanding expertise in fine-tuning, deep learning, multimodal AI, and agentic systems, with a focus on building reliable AI applications that deliver real-world value.