Architect, builder, product lead
Twenty-five years delivering enterprise software, data, integration, and platform programs — then three years architecting deterministic safety frameworks and multi-agent runtime environments — has redefined how I approach production artificial intelligence. Rather than treating large language models as black-box oracles, I engineer the rigorous structural scaffolding required to make them reliable enterprise assets—focusing on dual-kernel proposal-verification pipelines, hyperbolic graph neural networks, and fault-tolerant cloud orchestration.
My technical foundation is built on full-stack mastery across React, TypeScript, Python, and cloud infrastructure on AWS and GCP, allowing me to bridge the gap between low-level algorithmic research and scalable software architecture. But what makes me an exceptional candidate for an AI/ML Systems Architect role is the operational discipline I bring from the real world. Managing enterprise-grade software integrations alongside high-throughput physical operations—from full-stack platform launches to directing complex school nutrition logistics—has trained me to design systems that are not only theoretically sound under pressure, but structurally resilient, regulatorily compliant, and built for humans to actually use.