Henry Ruiz is an AI researcher and full-stack developer with 11 years of experience, currently a Research Scientist at Texas A&M AgriLife Research where he builds end-to-end software and algorithms to analyze remote sensing and ground-penetrating radar data. He holds a Ph.D. in Interdisciplinary Engineering from Texas A&M and a graduate certificate in Remote Sensing, blending geophysics, signal processing, and deep learning to turn complex sensor data into actionable insights. A Google Developer Expert in Machine Learning, Henry has a track record of shipping production-ready scientific applications and teaching AI and MLOps courses. He pairs rigorous academic research with practical software engineering—often simulating electromagnetic phenomena and integrating ML pipelines into full-stack systems—bringing both domain depth and deployment savvy to applied sensing problems.
11 years of coding experience
10 years of employment as a software developer
Master of Science and Engineering (M.S.) Data Science, Master of Science and Engineering (M.S.) Data Science at Autonomous University of Baja California
Bachelor of Science (B.S.) Computer Science, Bachelor of Science (B.S.) Computer Science at Antonio Jose Camacho University
Doctor of Philoshopy (Ph.D) Interdisciplinary Engineering , Doctor of Philoshopy (Ph.D) Interdisciplinary Engineering at Texas A&M University
Research Internship, Research Internship at Michigan State University
FalconCV is an open-source python library that offers developers an interface to interact with some of the most popular computer vision frameworks, such as Tensorflow Object detection API and Detectron.
Contributions:1 review, 127 commits, 26 PRs in 2 years 4 months
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