Postdoctoral Research Associate in precision agriculture at Texas Tech University. Ph.D. in Agricultural and Biological Engineering, University of Florida, with a mechanical engineering background. My work combines remote sensing and machine learning for crop management: cotton yield prediction and in-season crop mapping from UAV and Sentinel-2 imagery, deep learning computer vision for plant and animal monitoring, temporal attention models for satellite time series, and root-zone soil moisture dynamics. I also build field hardware for data collection. I help companies turn imagery, sensor and field data into in-season decisions for growers, with access to commercial cotton fields and multi-year UAV, satellite and yield-monitor data on the Texas High Plains.