Principal Systems Architect • Engineering Strategy • Applied R&D
Designing high-leverage infrastructure for regulated environments.
Bridging the gap between distributed systems theory and production reality.
Concept | Research | Writing | Podcast
My work focuses on the intersection of hardware constraints, economic governance, and reliability.
- Hardware-Aware Intelligence Optimization at the silicon edge. FPGA acceleration, micro-containerization, and inference latency reduction.
- Distributed Coordination Systems that survive partial failure. Consensus protocols, deterministic replay, and state reconciliation in adversarial networks.
- Economic Engineering Architecting for the P&L. Cost-aware auto-scaling, policy-based governance, and SOC 2-ready compliance loops.
- Micro-Containerized CPU Architecture (Patent Pending) Orchestrating sub-core efficiency for AI workloads on standard compute.
- Retrieval-Native Language Models Extending context windows via vector-native memory routing.
- The Illusion of Boundless AI Analyzing architectural ceilings in transformer scaling.
- Stealth Vertical SaaS (Proprietary): A vertically integrated platform digitizing federal compliance workflows. Stack: Next.js, Fastify, Row-Level Security, multi-tenant architecture.
- FPGA Inference Engine: Speculative execution pipelines for low-precision quantization (INT4/INT8).
- Probabilistic Verification: Integrating Bayesian uncertainty quantification into CI/CD decision trees.
- M.Eng., Computer Engineering | Dartmouth College
- MBA, General Management | Cornell University
- B.S., Software Engineering | The Pennsylvania State University
“I am interested in the boundaries where systems break and the economics of fixing them.”