Derek Peyton Email & Phone Number

- Overseeing operations verticals for health-related LLM performance evaluation, computer vision sensor annotation, and other AI operations.- Leading internal project management workforce, U.S.-based experts (inc. physicians), and large scale overseas annotation workforce- Establishing annotation and project management best practices for cross-functional teams across AI Ops, AI Research, AI Engineering, and Infra/Tools.

Led on-time and under-budget soft and full launches for a web platform that combines automated optical character recognition with human-in-loop quality assurance. Currently working with end-users to develop custom features.

New Brunswick, New Jersey, Us

Helped brilliant minds in clinical R&D develop the future of surgery. Oversaw development of proprietary cloud-based annotation platform used to browse, catalog, and annotate surgical video for ML models. Worked with leading university hospitals to develop high impact features designed to help surgeons improve surgical safety and efficacy through analytics and education, and to allow universities to create their own ML model training datasets.Managed budgets, POs, interviewing, onboarding, offboarding, and long term strategy for large scale annotation operations. Managed generative workflows and human-in-loop ML model training teams, including board-certified surgeons and BPO partners, as they created robust datasets designed to analyze and automate surgical tasks using robotics. Streamlined quality processes to double throughput on video annotation, while maintaining quality levels, and implemented numerous data quality process improvements.

Increased data record precision +~30% by calling Google Places API during ingest. Designed novel ML models that combined satellite imagery and various text data to improve wholesaler's rate of return on costly brochure mailers from 5% to 14%.Unlocked 6 figure cyclical yearly savings by building a small team and contracting with ML engineers to automate a market research pipeline, bringing all B2B market research in-house.

San Francisco, California, Us

Unlocked $200k quarter-over-quarter productivity gains. Saved 30% on human-in-loop operations for most resource-intensive workflow. Designed, developed and delivered internal tools that measurably improved data quality. Technical program management in ML automation and data analytics. Project management in quality assurance. Experience in machine learning data production operations, software QA, UI/UX, data analysis, and people management.Uber ATG (UATC LLC) focused on the development of autonomous / driverless vehicles, and the computer vision models required for vehicle autonomy required high quality labeled data from a fusion of multiple sensors — LiDAR, images, and others.

Technical support (software troubleshooting), A/V and special needs equipment delivery & setup.