Summary
Jacob Devasier is a Senior Machine Learning Engineer and PhD candidate at the University of Texas at Arlington with nine years of experience delivering research-driven ML solutions across industry and academia. His recent research focuses on automatic fact-checking and projects like ClaimBuster, ClaimLens, and ClaimCheck, while his industry work spans production ML at Toyota North America and applied science internships at Amazon. He has built practical pipelines from speech-to-text for customer support to recommendation models for sponsored products, demonstrating an ability to move models from prototype to production. Based in Arlington, Texas, he blends deep academic rigor with hands-on engineering, often bridging web development, research tooling, and large-scale ML systems in the same role. An understated strength is his consistent collaboration across university labs and corporate teams, enabling rapid translation of research ideas into deployed solutions.
9 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at The University of Texas at Arlington