I build AI products that actually ship.
Most AI initiatives fail not because of bad technology, but because no one bridges the gap between what's technically possible and what the business actually needs. That's where I come in.
Over the past 6+ years, I've taken B2B products from zero to launch across SaaS, marketplaces, and AI-native tools. Currently, I'm deep in:

Building a voice-to-text system for call centers (end-to-end: UX, UI, and business logic on top of OpenAI's API — working closely with my ML team)
Designing AI-powered pricing estimation tools that reduce manual guesswork
Improving CRM UX/UI to increase sales team adoption
Running AI product roadmaps from discovery through delivery

But the product is only half the picture. I also built the operational backbone that makes products sustainable — structuring CS teams, designing support logic, and creating the processes that turn a shipped product into one that actually retains customers.
What makes me different? I don't just write specs. I'm in the weeds with the API, the user flows, the business model — and the people and operations that keep it all running after launch.
If you're a B2B company trying to build AI products that users adopt, that scale, and that move revenue — let's talk.