Senior Machine Learning Research Engineer at SecureLogix
New York, New York, United States
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Summary
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Jason Ki is a Senior Machine Learning Research Engineer in New York with nine years of experience designing end-to-end AI workflows that bridge models, data, and production systems. He leads ML research at SecureLogix building video analysis and multimodal systems for Next Generation 911, and previously co-founded VERIPAD where he engineered multi-task deep learning pipelines to verify pharmaceutical ingredients from colorimetric imagery. Jason’s background includes a PhD-level focus on neural signal processing and novel EEG analysis methods for naturalistic video, giving him a distinctive perspective on attention-informed computer vision and applied neuroscience. Comfortable moving projects from research to deployed tooling, he combines academic rigor with startup product instincts to solve high-stakes, real-world problems in safety and health.
9 years of coding experience
9 years of employment as a software developer
Master of Science - MS, Biomedical Engineering, Master of Science - MS, Biomedical Engineering at The City College of New York
Bachelor of Science (B.S.), Physics, Bachelor of Science (B.S.), Physics at Saint John's University
Doctor of Philosophy (Ph.D.), Biomedical/Medical Engineering, Doctor of Philosophy (Ph.D.), Biomedical/Medical Engineering at City University of New York City College
Contributions:32 commits, 36 pushes, 1 branch in 3 years
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Jason Ki - Senior Machine Learning Research Engineer at SecureLogix