In June 2023, I co-founded DOXA AI and became the Lead Organiser of ClimateHack.AI. 🌍

I was previously an MEng computer science student at UCL, where I led a software engineering team as Head of Development at the UCL AI Society. My Master's project studied the evolution of cooperation in societies of artificial reinforcement learning agents. 🤖

I've also been a Production Engineering Intern at Meta (Facebook) on the service degradation & disaster recovery team in London during the summer of 2022.

I love machine learning and developing scalable software systems with Python 🐍, Rust 🦀, TypeScript ☕ (with React.js & Next.js ⚛) and other technologies. 🚀

First launched in January 2022, ClimateHack.AI is an international initiative challenging students to help reduce UK carbon emissions by 200+ kilotonnes per year by contributing to advancing satellite imagery & solar power nowcasting research. ⛅

Over two challenges, the DOXA AI platform has evaluated 6,100+ AI model submissions from 460+ students at 26+ UK, US & Canadian universities competing to attend in-person finals at Harvard University & UCL and be awarded a share of a £70k prize pool. 🏆

Challenge machine learning tasks have featured 700+ GiB of data, including 12 channels of satellite imagery, numerical weather predictions and air quality data. 🛰️

I've shared my thoughts on what it was like to help run the 2022 competition on LinkedIn and the 2023–24 competition on the DOXA AI blog! 👀

I received a UCL CS outstanding project award for developing Ask Bob: an open-source, on-device voice assistant built atop Rasa, SpaCy and Mozilla DeepSpeech for the IBM Franklin Immersive Social Engagement project. 👷‍♂️

You can read about my experience as lead student architect coordinating systems integration across the three teams in UCL Computer Science news. Learn more about the project on GitHub, our development blog and YouTube. 📰