Peter Prescott

Driving engineering excellence in a high-growth startup, building AI capabilities for scalability and supporting fundraising goals. Architected decentralized AI agents for task automation and developed robotic systems in NVIDIA Omniverse for real-time classification.

Built and optimized data-science capabilities for marine-vessel performance prediction, contributing to successful contracts with major shipping fleets. Designed a customer-agnostic data pipeline, reducing integration time significantly.

Spearheaded data management for a biotech startup, collaborating with scientists to develop data pipelines and cloud solutions. Implemented machine learning models and automated lab systems to improve operational efficiency.

Conducted a doctoral project integrating Big Data to classify UK residential neighborhoods. Engineered high-performance data pipelines and utilized advanced analytics techniques for novel insights.

Developed a bespoke book-tracking system for an independent bookshop, implementing a full-stack web app that significantly improved operational efficiency.

Designed and maintained multiple websites, successfully recruiting volunteers and raising funds using scalable web technologies.

Grade: Distinction

Activities and societies: Authored research papers and delivered public presentations, communicating complex results to both technical and non-technical audiences.

Doctoral project integrated geographic, demographic, and socioeconomic Big Data to delineate and classify all residential neighbourhoods in UK. Engineered scalable, high-performance data pipelines using Docker, PostgreSQL/PostGIS, Pandas, and custom Python algorithms, achieving typical pipeline run-time (90 minutes) approx. 20-times faster than other comparable Lab projects.

Grade: 2.i

Studied Mathematics and Theology, focusing on the analytical and philosophical aspects of both disciplines. Developed strong problem-solving skills and a deep understanding of mathematical concepts.