AI-accelerated engineering. Complex systems, delivered with architectural precision.
Interview My AI Digital Twin →Practice
I build production AI systems, not demos. From RAG pipelines and Amazon Bedrock to multi-model gateways and AI agents, every solution is architected for security, cost control, and operations. The chatbot on this site is one example. Ask it anything.
Practice
I design resilient cloud platforms using Kubernetes, serverless, containers, and modern AWS services that scale without becoming difficult to operate.
Practice
I automate cloud migrations with Infrastructure as Code, CI/CD, and GitOps so your environment remains reproducible long after the migration is complete.
Practice
From ESP32 firmware to AWS IoT Core, I build connected device platforms where fleet-wide updates and major-version migrations happen reliably in the field.
Operating Principle
AI is a force multiplier, not a substitute for judgment. I combine modern AI workflows with decades of hands-on engineering experience, from pioneering UNIX infrastructure and early AIX virtualization at the University of Toronto, to enterprise systems at IBM and Bank of Montreal, secure healthcare environments supporting SickKids Hospital, and Fortune 500 cloud transformations. That journey, from supercomputers to virtualization to cloud and now AI, shapes how I approach every project: build it right, make it scalable, and make it last.