Isaac Ray is an AI research engineer with eight years of engineering experience who blends hands-on ML research with product-focused prototyping across government and edtech clients. He designs end-to-end proof-of-concept systems—from LLM-driven coding tutors and music playlist agents to explainable human-in-the-loop pipelines for DEFRA and the Home Office—owning architecture, evaluation and stakeholder workshops. With strong PyTorch experience (GPT-2+LSTM classifiers, CycleGAN) and practical LangChain/Streamlit implementations, he iterates quickly on prompt strategies and model selection. Isaac is also a founder-minded builder researching the music discovery market through Durham’s Venture Lab and incubator, applying ML feature engineering to create socially driven listening experiences. He enjoys experimental work that challenges assumptions and is actively looking for roles to deepen his impact in AI research and productisation.
8 years of coding experience
A level, Maths, Music, English, A level, Maths, Music, English at The Perse School, Cambridge
Master of Engineering - MEng, Computer Science, 1:1, Master of Engineering - MEng, Computer Science, 1:1 at Durham University
Contributions:66 pushes, 4 branches in 2 years 8 months
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