From Physical Infrastructure to Generative Intelligence
A founder with 20+ years of engineering resilience. Applying system stability to the volatile nature of AI.
Physical Networks & The ISP Origin
My architectural philosophy is rooted in physical reality. Early in my career, I founded and engineered a physical Internet Service Provider (ISP). This was not a theoretical exercise; I managed distributed network topology under hostile regulatory conditions and physical hardware failures.
This experience established my baseline for all future work: "Uptime is a survival metric."
Systems Engineering & Data Logistics
Transitioning from physical infrastructure to software, I spent years building scalable e-commerce platforms. As a Lead Engineer reporting directly to the VPs of Architecture, I engineered the technical backbones of production pipelines.
My focus was Data Logistics: curating high-volume datasets, migrating legacy infrastructure, and engineering the ETL protocols that turn raw data into business intelligence.
Applied AI & Formal Verification
Today, I apply this rigor to Generative AI. I avoid the fragility of superficial “wrappers” because I understand the inherent unpredictability of the model.
My practice deploys Native Architectures where the AI is an orchestrated component with secure, low-latency access to business logic. By applying Formal Methods (TLA+), I treat these agents with the same strict reliability standards used in physical networks.
Lean Architecture
"Experience has demonstrated that adding headcount to a complex system often increases friction rather than velocity."
FinOps
"Compute costs must not scale disproportionately to revenue. Architecture must be financially sustainable."