A concise overview of technical leadership, systems work, research, writing, and selected outcomes across secure and decentralized environments.
I work across protocol design, distributed systems, real-time ML, secure infrastructure, long-form writing, and formal research. The public record includes privacy-preserving protocols, distributed ML in high-constraint environments, peer-reviewed publications, and public writing on verification, money, and civilizational systems.
Selected wins with transferable outcomes.
Built and operated a production storage platform from the ground up: anti-tamper verification, reliability/integrity guarantees, incentive system design, and real-time monitoring. Operated to ~$7M avg MRR (~$60M revenue).
Led ML engineering for a real-time detection pipeline: signal processing + deep learning, optimizing accuracy/false-alarm tradeoffs and latency. Built simulation + synthetic-data workflows for robust training. Helped secure ~$5M multi-year follow-on.
Owned end-to-end: data pipelines, training orchestration, deployment, and operator workflows in regulated environments. Reduced fine-tuning costs 65% via quantized adapters on commodity hardware.
Built DSP → deep learning pipeline achieving <50 ms end-to-end latency on embedded devices. Shipped to production.
Originated properties, research programs, and public writing — each built from scratch as part of the same architecture.
Selected roles focused on systems that have to remain reliable under adversarial, operational, or highly constrained conditions.
For the short version, download the résumé. For the fuller picture, use the Work and Projects & Labs pages.