Giraffe makes software to empower city makers. Draw simply in 3D on a map, view live metrics, share with others, build custom apps and more.

Conducted computational mathematics research focusing on surrogate modeling techniques for increasing the efficiency of groundwater models. Methods included polynomial chaos, multi-fidelity and deep learning. Worked on several integrated catchment models aimed at informing water resource policy.Tech used: algorithms (Python, C++) and web based dashboards (Backbone.js, Google Cloud Platform).

Watching the grass grow. My team modeled crop growth at scale using remotely sensed data. Technical lead and product owner roles.Tech: ML, Python, GDAL, Postgres, AWS, Google Cloud, Docker

Technical lead on a small R&D and engineering team which developed and deployed models, services and web apps. Translated business goals into technical vision and manageable development tasks.Projects included: Soil zone level nitrogen monitoring, seed and nitrogen Rx for corn, yield and as applied data processing, vegetation maps and anomaly detection from satellite imagery, N stress detection, deep learning cloud filter.Tech used: Python, machine learning (Tensorflow, Scikit learn), web (JS, HTML, CSS, React.js, D3.js), GIS (GDAL, POSTGIS, Leaflet.js), CI (Kubernetes, Github, Jenkins, Sentry), AWS (EC2, RDS PostreSQL, S3, ElasticBeanstalk, Lambda and Batch).

Prototyped the migration of a large Excel based model to Python and Matlab.