Summary
Samuel Black is a Senior Data Scientist at Walmart Global Tech with a PhD in Computer Science from Temple University and five years of experience building production-ready computer vision systems. His graduate work powered the TraffickCam web application used by the National Center for Missing & Exploited Children, where he engineered distributed training pipelines on datasets of over 10 million images and integrated SOTA hybrid CNN/Transformer models into Flask-based retrieval services. He has published methods for multi-view classification, visualizing transformer-based image similarity, and improving censored-image retrieval accuracy, and continues to advance few-shot, parts-focused learning under review for CVPR. Equally comfortable in research and production, he has experience across AWS-backed deployment, continuous delivery, and applied software engineering from consultancy and internship roles. Based in Philadelphia, he combines academic rigor with pragmatic system-building and a track record of translating complex vision research into tools that aid real-world investigations.
5 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Temple University
Masters of Science, Computer Science, 3.93, Masters of Science, Computer Science, 3.93 at Villanova University
Bachelor of Arts (BA), Economics, Bachelor of Arts (BA), Economics at Oberlin College
English