N'yoma Diamond is a software engineer at DeepForm Limited with eight years of experience applying machine learning, database design, and statistical analysis to industrial problems like sheet metal manufacturing optimization. He combines an MPhil in Advanced Computer Science from Cambridge with MS and BS degrees in Data Science (both 4.0) from WPI, and brings research experience from Los Alamos National Laboratory working on transuranic waste management. Skilled in computational data science, visualization, and experimental design, he has moved between academic research and applied engineering roles, including deep learning research using PyTorch and MATLAB. Curious and methodical, he aims to expand both his own knowledge and broader understanding through research-driven engineering, often translating complex models into practical tooling for manufacturing workflows.
8 years of coding experience
Master of Philosophy - MPhil, Advanced Computer Science, Master of Philosophy - MPhil, Advanced Computer Science at University of Cambridge
Master of Science - MS, Data Science, 4.0, Master of Science - MS, Data Science, 4.0 at Worcester Polytechnic Institute
Contributions:66 PRs, 139 pushes, 93 branches in 14 days
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