Work

• Image analytics — Image processing pipeline—the backbone of our recommendations and product.
• Ag data processing — Planting, application, and harvest data turned into insights and recommendations.
• Management zone creation — Zones from yield, soil samples, satellite imagery, and other layers you choose.
• Variable rate prescriptions — Prescriptions for fertilizer applications from zones, samples, yield, or imagery—exported for monitor or pivot controller.
• Automated plot placement — Plots placed in representative areas of the field for nitrogen recommendations.

Scope — Well monitoring and chemigation history out of spreadsheets and legacy databases into a modern store, exposed through an API.

With five other seniors, I helped ship a web app for a cattle research facility to manage projects and replace a spreadsheet workflow—so they could import historical records into structured storage and analysis. Bridging ranch vocabulary and developer tradeoffs was the best part of the job.

I cut my teeth rewriting legacy apps in a modern stack and shipped an API-based load-bidding flow that replaced a brittle web-scraping approach—fewer moving parts when bids had to land on time.

As a Conservation Technician I lived in habitat work—prescribed burns, weed control, food plots, and wildlife surveys—long days that taught me how plans meet weather, equipment, and wildlife that do not read a Gantt chart.

N-CORPE retired irrigated cropland to grassland to protect groundwater under interstate compacts. With the range manager I reseeded, fought weeds, and helped shape grazing and reseeding plans—work that still informs how I think about long-horizon stewardship.