Isaac Neal is a machine learning engineer and co-founder based in San Francisco with eight years of experience building data-driven systems at the intersection of robotics, computer graphics, and remote sensing. He previously developed AI agents and edge-deployable TensorFlow/Keras models for game testing—demonstrated with an LLM-driven game-playing agent showcased at GDC 2024—and has hands-on experience integrating C++ SDKs for production constraints. His research background includes first-author work from a UNICEF-focused computer vision project at The University of Edinburgh, where he led end-to-end deep learning experiments for population estimation. Now at OMGrab he focuses on data collection tools for robotics, blending academic rigor with product-minded engineering. Colleagues describe him as equally comfortable prototyping novel ML models and shipping reliable tooling for real-world robotic data pipelines.
8 years of coding experience
4 years of employment as a software developer
Bachelor of Science - BSc (Hons), Computer Science, Bachelor of Science - BSc (Hons), Computer Science at The University of Edinburgh
Bachelor of Science - BS (Exchange Year), Computer Science, Bachelor of Science - BS (Exchange Year), Computer Science at University of Virginia
Contributions:19 commits, 18 pushes, 1 branch in 5 months
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