I'm an Enterprise Cloud Architect and AI/ML Consultant with over a decade of hands-on experience designing and delivering production-grade technology solutions for Fortune 100 organizations and high-growth technology companies across Google Cloud Platform, Microsoft Azure, and Amazon Web Services.

Over the years, I've worked for and consulted in various capacities — as an architect, technical lead, and trusted advisor — with some of the most respected names in technology, finance, and manufacturing worldwide, including Google, Cisco, FANUC, Samsung, Yaskawa, Honeywell, Dell, VMware, Yahoo, Facebook, Apple, the Reserve Bank of India, VISA, Mastercard, Huawei, IBM, Red Hat, Adobe, Amazon, Rambus, Rakuten, Hexaware, Infosys, Mindtree, HCL, and more. That range — from hyperscale cloud providers to global financial institutions to industrial robotics leaders — is exactly what shapes how I teach: practical, battle-tested, and built for real production environments.

My real-world work spans Generative AI systems (RAG pipelines, LLM orchestration, agentic workflows, and context engineering), Kubernetes platform engineering, Site Reliability Engineering, Terraform infrastructure as code, GitHub Actions CI/CD automation, microservices architecture, and Cosmos blockchain — built and operated at enterprise scale, not just covered in theory.

I hold a B.E. in Computer Science & Engineering from SSN College of Engineering and completed advanced studies at Stanford University. I write regularly on Medium and consult with engineering leadership teams on cloud architecture strategy and enterprise AI adoption.

Every lab, pattern, and architecture decision in my courses comes from real consulting engagements. I teach the way I work: hands-on, opinionated, and focused on what actually matters in production — so whether you're a developer, architect, or engineering leader, I'll show you how it's done at enterprise scale.