Shanthan Rao Kanuganti

WORK HISTORY

EDUCATION

ABOUT SHANTHAN RAO KANUGANTI

Driven to innovate through AI, I lead automation projects and build production AI systems that integrate AI agents, MCP servers, APIs, and analytics to consistently deliver measurable business value. My expertise spans Python, SQL, and the full agentic AI stack, with hands-on deployment of LLMs, retrieval-augmented generation (RAG), vector embeddings, and multi-agent orchestration for real business workflows. Agentic AI and Model Context Protocol (MCP) are at the core of my experience, enabling context-aware intelligence. I design agent architectures with persistent memory, tool calling, structured outputs, and LLM orchestration using frameworks like LangGraph and LangChain. I automate complex workflows through n8n, Zapier, and Make, combined with context engineering and intelligent agent routing. I have built and deployed RAG-powered LLM chatbots, voice-activated conversational AI, intelligent web scraping pipelines, and AI-enhanced CRMs with generative AI. I have delivered over 100 automations across business operations, and I apply advanced prompt engineering across all AI systems I build. My M.Sc. thesis at FZI Research Center introduced a novel ML approach to stress quantification, achieving state-of-the-art accuracy. My technical stack extends across machine learning, deep learning, transformers, NLP, and generative AI on the AI and model development side, with Python, SQL, MySQL, Snowflake, Oracle, AWS, and Google Cloud powering the backend infrastructure. I work across the full stack, from frontend development to backend architecture, delivering complete, production-ready AI systems.Staying ahead of the AI frontier is what I am most passionate about. I will keep pushing forward, learning, experimenting, and building AI systems that create real impact.