I’m a UK-based AI/ML engineer with a track record of applying machine learning to science and technology innovation. I build end-to-end pipelines, clean and transform real-world data, and develop signal classification models using Python, PyTorch, and related tools. My experience spans academia and industry, from EEG signal processing to neuro-interface prototypes, and I enjoy collaborating with cross-functional teams to translate technical requirements into impactful solutions.
In addition to hands-on model development, I have experience collaborating with hardware teams and researchers to validate data quality and ensure alignment with performance metrics. I’m passionate about turning scientific questions into scalable ML solutions and sharing learnings with colleagues across disciplines.
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