Daniel Tamkin is a Machine Learning Engineer blending neurotechnology research with product-grade software engineering to deliver validated neural biomarkers and brain‑health assessments. With an MSc from Imperial College London and a background as an SDE at AWS, he moves comfortably between explainable ML, large‑scale data pipelines, and full‑stack APIs to translate neuroscience into clinical‑grade features. He has hands‑on experience designing data‑acquisition protocols and testing frameworks at Connectome Health, and previously owned high‑traffic geofencing APIs and contributed UI/UX improvements to the open-source O3DE engine at AWS. Comfortable in both academic and production environments, he focuses on practical neurotech—bringing brain–machine interface insights into scalable healthcare products.
4 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Biomedical Engineering (Neurotechnology), Master of Science - MS, Biomedical Engineering (Neurotechnology) at Imperial College London
Bachelor of Arts - BA, Computer Science and Neuroscience, Bachelor of Arts - BA, Computer Science and Neuroscience at Pomona College
Open 3D Engine (O3DE) is an Apache 2.0-licensed multi-platform 3D engine that enables developers and content creators to build AAA games, cinema-quality 3D worlds, and high-fidelity simulations without any fees or commercial obligations.
Role in this project:
Full-stack Developer
Contributions:432 reviews, 63 commits, 90 PRs in 1 year 6 months
Contributions summary:Daniel's contributions primarily involve adding and modifying UI components and functionality within the Open 3D Engine (O3DE) project. Their work focuses on the development of property editor features, including creating toggle switches, managing the display of scene settings, and implementing drag-and-drop functionality. They also addressed several UI-related bugs, which further solidifies their focus on improving the editor's usability and functionality.
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