Subhasis Kundu is a Sr. Principal Generative AI Architect and Full-Stack AI Engineer with over 15 years of engineering experience, including more than a decade dedicated to AI/ML and Generative AI solutions. Based in Georgia, USA, he specializes in designing and scaling LLM-powered, context-aware, and agent-driven systems for large enterprises in regulated industries.

Currently at ABM, Subhasis architects enterprise-grade AI/ML solutions across multi-tenant SaaS platforms using Azure AI Studio, Azure Machine Learning, Azure OpenAI Service, and Microsoft Copilot Studio. His expertise spans Prompt & Context Engineering, Retrieval-Augmented Generation (RAG), vector search, and Agentic AI, with a proven track record of deploying production-grade solutions that improve throughput, decision-making speed, and contextual accuracy.

A strong Python-first engineer, Subhasis has deep experience building AI agent workflows, secure integrations (OAuth2/OIDC, Microsoft Graph), and scalable APIs using FastAPI and Flask. He is proficient in MLOps and LLMOps, operationalizing AI on AKS and Azure ML with CI/CD, IaC, MLflow, and robust monitoring and governance.

Throughout his career at leading organizations including EY, BMW Financial Services, KPMG, Allergan, Visa, BP, and Sony, he has consistently delivered innovative AI solutions that drive operational efficiency, enhance user engagement, and ensure compliance. He holds a Bachelor of Technology from Jadavpur University and is TOGAF 9 and SOA certified, as well as a Senior Member of IEEE and Sigma Xi

From Intelligent Architecture to Agentic AI: Engineering the Next Generation of Cloud-Native Systems