Profile
I'm a GIS professional based in Watsonville, California, managing an enterprise geospatial platform that serves contributors across multiple continents.
My background spans cartography, remote sensing, and production software development, and I focus on building Python tooling and automation that bridges enterprise systems and turns spatial data into operational decisions.
I serve as GIS subject-matter expert across a range of projects, including machine-learning yield forecasting and other cross-functional geospatial work. I combine remote sensing and spatial data to solve new problems in agriculture.
Core Skills
- GIS & Remote Sensing
- Spatial analysis, cartography, remote sensing, satellite imagery (Sentinel-1 SAR)
- ArcGIS Products
- ArcGIS Pro, ArcGIS Online, ArcGIS Enterprise, ArcGIS API for Python, Field Maps, Experience Builder, Survey123
- Development & Automation
- Python, JavaScript, RPA, Power Automate, data pipelines, ETL, API integration, enterprise system integration
- Data & Analytics
- Tableau, Excel, data architecture & schema design, data quality management, statistical analysis
- Domain & Emerging
- Agriculture & supply-chain analytics, ML-enabled yield forecasting (GIS SME), AI-integrated GIS tooling, LLM applications
Professional Experience
Driscoll's
Watsonville, California
Progressive promotion through five roles since Jul 2021
GIS Solutions Manager
Jan 2026 – Present- Lead the platform and set its technical direction across custom GIS tools, reporting, and Python automation.
- Define the data-quality standards that global contributors follow to produce high-quality spatial data.
- Advise specialized teams on GIS strategy and implementation, and manage a GIS team.
- Serve as ongoing GIS advisor to machine-learning initiatives across several disciplines, including yield forecasting.
Supply Chain Analyst III
Mar 2025 – Jan 2026- Built a production Python model that brings geographic context to core planning logic through a custom spatial supply network, supporting a major ERP deployment.
- Established the geospatial foundation for that initiative, connecting internal spatial data to the external modeling pipeline.
Supply Chain Analyst II
Oct 2022 – Mar 2025- Built GIS automation and administrative tooling with the ArcGIS API for Python, plus RPA scripts extending workflows across and beyond the Esri ecosystem.
- Designed and maintained Tableau reporting used across Supply Chain to support planning and forecasting.
- Advised on a weather data project and built a Python pipeline that pulls provider-API weather data asynchronously across defined locations in the platform.
Geographic Information Systems Analyst
Feb 2022 – Oct 2022- Managed and supported the platform, maintaining custom GIS tools, Tableau reports, and Python-based solutions for data processing and automation. Helped global contributors create and maintain reliable spatial data.
Field Technician I
Jul 2021 – Feb 2022- Provided GIS analysis to drive research experiments, drawing on remote-sensing data, statistical methods, and scripting in Python and JavaScript.
- Used ArcGIS Online and Survey123 to support time-sensitive experimental protocols; trained and directed technicians in field data-collection methods.
Earlier Experience
GIS Intern, Palomar College
Sep 2016 – Jan 2017- Cataloged and standardized GIS data for 400+ plants in the Palomar College Arboretum, designing and enforcing a uniform attribute structure before merging datasets.
- Collected field GPS data and built maps and web apps in ArcGIS Online, working with the college arborist to ensure botanical accuracy.
Presentations
From Bugs to Floods: The Power of Vector and Raster GIS
2023Esri User Conference, San Diego, CA
Co-presented two scenarios from our progression out of basic asset mapping. First, digitizing paper-based pest scouting into structured field-collection workflows across ArcGIS Field Maps, Survey123, Power Automate, and Tableau. Second, applying Sentinel-1 SAR imagery to detect flood extent in near real time during storm events, when field access was unavailable. Together they showed what vector and raster each bring: accuracy and speed.
Unlocking Berry Supply Chain Insights with Esri Apps
2025Esri User Conference, San Diego, CA
Co-presented how we unified supply-chain systems into a single geospatial data ecosystem, integrating ArcGIS Field Maps, Survey123, Experience Builder, and ArcGIS Enterprise with Tableau, Excel, and Power Automate for automated pipelines and KPI dashboards. The result was real-time field intelligence covering pest tracking and yield forecasting, supported by AI-assisted insights.
Education
B.S., Geology
University of California, Riverside 2010 – 2013
Advanced Geographic Information Systems
Palomar College 2016 – 2017
Professional Development
- Building a remote-sensing object-classification data pipeline for parcel classification from satellite imagery, to extend my ML/AI skills into applied remote sensing.
- I'm drawn to conservation and wilderness-management applications of GIS and remote sensing, and always open to a conversation there.