Joshua Tan is a Machine Learning Engineer based in Oxford with 11 years of experience blending rigorous mathematics and practical ML engineering. Trained in theoretical machine learning and category theory, he brings a research-minded approach to designing robust, principled models and governance-aware systems. His profile signals strength in formal reasoning and algorithmic foundations, enabling him to bridge abstract theory with deployable solutions. Colleagues can expect a practitioner who values mathematical clarity and system-level thinking, often surfacing structural insights that others miss.
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