Technical Lead for Spatial Frameworks, building the stack for spatial computing on current and future hardware.

Working on spatial UI, graphics and simulation, distributed computing, scene understanding.

Led a 7-member team in the Financial/Profit Intelligence org, building AI recommendation systems for assessing business performance risks and opportunities. Mostly-technical role, with some people management responsibilities.

Early seed-round employee and Tech Lead owning end-to-end the 1.0 release of the company's namesake Gro web app. Set technical direction and wrote much of the code for everything from AWS deployments, to user accounts and billing, to data pipelines and migrations, to UI design systems.

Subsequently launched the Gro API, took on customer-facing DevRel / sales engineer responsibilities, and focused on scaling performance.

Researcher in the Secure Systems Lab, contributor to The Update Framework, and instructor for Python/C++ and Data Structures courses.

Led a team of 3 student engineers developing a data subsetter application for analyzing weather data collected by the TES project. By the end of my contract the full application was up and running and being used by climate scientists across NASA. The architecture included a raster tile server, a Postgres database, data ETL jobs, and the web interface, all deployed on-prem at the Atmospheric Sciences Data Center. A paper was later published on the project: https://ui.adsabs.harvard.edu/abs/2012AGUFMIN41C..05B

Technologies used: Geoserver, PostGIS, GeoTIFFs, OpenLayers, JavaScript, PHP, Perl