Founder & Principal Engineer — AI Products, Production Platforms, and Full-Lifecycle Delivery.
I carry ambitious systems from problem definition through product architecture, implementation, release infrastructure, production operations, and commercial evolution. The record includes a multi-tenant vertical AI platform, air-gapped distributed ML, sub-50ms edge inference, production protocols, and peer-reviewed research.
Selected wins with transferable outcomes.
Owned a vertical AI product from market thesis through architecture, implementation, tenant safety, QA, release infrastructure, production operations, packaging, and commercial evolution. Current platform scope includes 14 services, 171 migrations, 244 API routes, 73 dashboard pages, and 75 agent skills.
Read the case study →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.
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.