Senior Machine Learning Engineer
Born and bred in East London, my journey to becoming a machine learning specialist has led me around the globe. As a successful tech entrepreneur myself, I have an insider’s understanding of the data-driven processes required for start-ups to carve out their spaces in the market.
As a working class lad, I grinded my way to Imperial College London, where I graduated with First Class Honours in Materials Science and Engineering, and was inducted on the Dean’s List Cum Laude. I then uprooted to Korea and began my career as an engineer at Samsung Electronics, where I made use of mathematical modelling and domain-specific optimisation tools to develop a patent for a compact smartphone camera lens. Shortly after, I jumped into the founder’s seat myself and, as part of Samsung’s incubator programme, I co-founded SpeakEasy - an ed-tech mobile app which delivers a research-backed, AI-driven, gamified experience to help you speak easily. I was in charge of developing a robust, production scale, cloud based, end-to-end, speech analysis AI. We were eventually acquired back into Samsung, from which point I joined Samsung’s core AI R&D Group. Here, I developed many aspects of the machine learning pipeline, with a special focus on adapting transformer-based language models. The pandemic hit and I moved back to London to be closer to family. I joined Monaco Solicitors as their lead data scientist, shifting my sights towards researching NLP and delivering AI-powered letter writing services to open up access to justice globally for those who struggle to afford it. My focus at Moonfire is in complex data analytics, particularly exploratory data analysis and core machine learning research. I am really excited about the advanced use of deep learning and natural language processing throughout Moonfire’s stack, and the opportunity to work with startups from day one.