Engineering with system clarity, product intent, and durable architecture.

I'm a CTO, software engineer, and machine learning engineer with experience across informatics systems, fintech workflows, and applied ML projects that focus on retrieval, recommendation, and operational intelligence. Leading Harlem Manage has deepened how I think about multi-tenant architecture, product strategy, and the realities of building a real operating system for a domain instead of a narrow feature set.

My work spans production informatics at Savannah Informatics, financial backend workflows from fintech environments like E&M Tech, and proptech system design through Harlem Manage. That mix has shaped a strong bias toward reliability, access control, financial correctness, and software that respects the operational context it lives in.

I'm especially interested in products where backend systems, domain operations, and AI have to work together. Akoko inside Harlem Manage is a good example of the kind of engineering I care about: not AI as decoration, but AI designed as a governed, role-aware execution layer inside a real product.