I'm a software engineer with nine years of experience building enterprise software, including time at IBM. I work as a Technical Program Manager and Customer Success Engineer, and most of my day is spent translating between what is technically possible and what a business actually needs.

My focus is helping technical teams and business leaders turn AI, data, and cloud into things that work: real products, practical automations, and results a business can measure. Right now I'm building Sarva, a voice-first AI platform for supply chain operations, so this is work I do myself, not just talk about.

I teach because the resources I needed while learning this never existed. Most courses stop at a working demo. Almost none teach the part that decides whether a project succeeds: the architecture choices, the production engineering, the evaluation, and the small decisions that separate a prototype from something a company can rely on and pay for.

My teaching style is practical and opinionated. I commit to a specific stack, explain why, and show you how to ship something real. Whether you write the code or sign off on the budget, you should leave understanding how the system actually works and what it takes to get it into production.

Outside of engineering, I'm an MBA candidate at Santa Clara University and I founded a nonprofit in Pittsburgh. I care about building things that work, and about teaching in a way that respects your time.

If you want to build and ship AI systems that create real value instead of impressive demos, I think you'll get a lot out of my courses. Enroll, ask questions, and tell me what I can explain better.