Production AI proof
These case studies combine experience, project proof, and testimonial context while keeping client company names private. The useful part is the shape of the problem, the system decisions, and the measurable outcome.
annual ML infrastructure savings delivered
faster inference after production re-architecture
production ML cost reduction
cameras supported through real-time AI deployments
production video analytics use cases delivered
Wildlife Technology Platform
A production ML pipeline was too expensive and slow for the level of image intelligence the product needed. The work re-architected inference around optimized model serving, cutting annual infrastructure cost by more than $1M while improving speed and reliability.
Video Intelligence Platform
A video intelligence platform needed to deliver many production computer vision use cases across large camera fleets. The work standardized reusable ML pipelines, improved detection and tracking systems, and helped the team scale real-time analytics globally.
Wildlife Technology Platform
A wildlife product needed differentiated computer vision capabilities for low-light imagery and individual animal recognition. The work tackled domain gaps that off-the-shelf models could not solve cleanly.
Autonomous Systems Research Program
An autonomous systems research program needed better offline evaluation for safety-critical driving policies. The work produced a metric that improved ground-truth correlation and supported published robotics research.
The best fit is a founder, operator, or product team that needs production AI judgment across architecture, implementation, deployment, and measurable results.
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