Fetch.ai

Led the team for Colearn Paint (making non-fungible tokens from machine-learning generated artworks). Planned the architecture of the system and scheduled work for the team. Refined and deployed the smart contracts which let users bid for tickets and stake tokens. Implemented the backend in python and the frontend in react. Helped to develop the ML model which generated the art. Colearn Paint was very popular with the community and \$100k of tokens were staked by the users to take part. This project was instrumental in helping quadruple the Fetch.ai token price. Led the Open Colearn project (blockchain-based marketplace for ML predictions). Worked with product manager, business development team and CTO to refine idea and with a designer on UX design. Managed a team of six with a diverse set of skills, including multiple contractors and several time zones. Wrote code for the python backend and react frontend. Reviewed the GraphQL-based blockchain indexer and smart contracts in rust. Project is on track for launch in mid 2022.Technical lead on CatenaX collaboration (working with large European automotive manufacturers to develop privacy-preserving ML solutions). Represented and promoted Fetch.ai's Colearn products in meetings with the partners. Found mutually useful projects for investigation and development, and presented the results to the wider group. Assisted collaborators with technical integration. This provided valuable publicity for Fetch and has led to ongoing collaborations with two major German manufacturers.