Leading projects to improve reliability and monitoring for flagship Google Cloud Serverless products (Cloud Run, Cloud Functions, App Engine):- Reducing disruption to customers during infrastructure updates,- Accelerating internal development and release frequency,- Implementing new production monitoring techniques to catch more bugs, and catch them earlier.

R&D team lead for novel geomagnetic indoor positioning technology that works on Android and iOS:- Implemented state-of-the-art data science techniques, using Python for exploratory data analysis.- Designed the technology to be scalable to a global customer base.- Developed efficient data structures and algorithms to minimise battery usage (C++, Java, Swift).- Mentored junior engineers and provided technical consultancy to sales / marketing.

Led projects to modernize a mapping service for indoor and city-scale environments:- Designed & implemented a new vector tiles-based system, reducing map production time by 75% (TypeScript, Node.js, Mapbox GL).- Implemented a multi-tenanted backend architecture that reduced cloud hosting costs by 50%.- Implemented continuous integration / delivery and infrastructure improvements using Docker and Kubernetes on Google Cloud.

- Worked with the VC funded startup Flomio to develop their proximity ID-based solutions.- Collaborated with San Francisco Bay Area clients.

- Developed scientific data analysis algorithms based on information theory in C++.- Embedded the algorithms into a desktop application for exploratory data analysis and visualisation.

- Worked in the space department to develop a tool using Python that assists with assessment of satellite image quality from the European Copernicus Earth Observation (EO) programme.- Decreased assessment time by an average of 25%.