I build things that shouldn't exist yet.
I'm a software engineer who stopped caring about job titles and started caring about impact.
M.S. in AI from FAU. B.S. in CS from FAU. But mostly self-taught in the things that actually matter.
I've spent years inside enterprise systems — the kind held together by duct tape, legacy decisions, and good intentions. I've untangled them, scaled them, and rebuilt them from scratch when necessary. I don't fetishize complexity. I respect it enough to cut through it.
Right now I'm pushing toward the intersection of deep learning and real-world geometry — think AI systems that understand the physical world, not just text and tokens.
- Design systems that scale — cloud-native on Azure (AKS, Functions, Event Hubs), microservices, distributed everything
- Lead teams without losing the IC instinct — I still write the code. I still catch the architectural mistakes. I don't manage from a distance.
- Build AI that does something — not demos, not prototypes that die in a notebook. Production ML systems integrated into real workflows.
- Question the defaults — if everyone's doing it, that's a reason to look harder, not follow along
Python C# .NET PyTorch Azure Docker Kubernetes Databricks SQL FastAPI Next.js
CrownMind AI — automated dental crown design using deep learning on 3D point clouds. PointNet++ encoder feeding a conditional generator trained on real intraoral scan data. If it works the way I think it will, it replaces a manual process that hasn't changed in decades.
Most of my repos are private due to enterprise ownership. I'll push public work as it clears. Watch this space.
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