Turn Field Data Into Actionable Intelligence
Crop modeling (DSSAT), geospatial analytics, and machine learning solutions for agribusinesses, research institutions, and government agencies.
MS in Agricultural & Biological Engineering, University of Florida • UF Fellowship Recipient
What I Do
Specialized services at the intersection of agriculture, data science, and technology.
Crop Modeling & DSSAT
Calibration, validation, and scenario analysis for crop simulation models. From field data to yield predictions.
Learn More →Geospatial & Remote Sensing
Satellite imagery analysis, GIS mapping, NDVI monitoring, and spatial data pipelines for agricultural applications.
Learn More →Ag Data Science & ML
Predictive modeling, data visualization dashboards, and machine learning pipelines for agricultural research and operations.
Learn More →Featured Work
Selected projects demonstrating impact across agricultural systems.
DSSATPrecision Nitrogen Management in Spring Rice
Used DSSAT decision support tools to optimize nitrogen application in Chitwan, Nepal, reducing input costs by estimated 15-20%.
Read Case Study →
DevelopmentDSSAT Graphical Visualization GB2
Contributing to DSSAT v4.8.6 by building enhanced graphical visualization capabilities for the global research community.
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Machine LearningRogcheck — Crop Disease Identification App
Android app using CNN and TensorFlow Lite for offline crop disease detection across potato, pepper bell, and tomato — classifying 10 diseases.
Read Case Study →I demonstrate exceptional analytical skills and a deep understanding of crop modeling systems. My ability to bridge field research with data-driven insights makes me a valuable asset to any agricultural research team.
Ready to Leverage Data for Better Agricultural Outcomes?
Let's discuss how data science and crop modeling can transform your agricultural research or operations.
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