Skill
Geospatial analysis
Related work and learning, in one place.
Geospatial processing and mapping with tools including Cartopy and Folium. Supporting records distinguish research processing from interactive service maps.
Experience
Systems and Embedded Software Engineer
Independent contract engineering spanning embedded/IoT devices, data-analysis pipelines, and web systems.
Research Intern
Streamlined ground-truth validation and eliminated a proprietary IDL dependency in NASA's MODIS Dark Target aerosol-retrieval pipeline; two tools filed as NASA New Technology Reports.
Research Assistant
Atmospheric remote-sensing research on UMBC’s Taki supercomputer. NSF CyberTraining research in fall 2019 and coursework in spring 2020 were part of this longer appointment, with stipend support.
Projects
Earth-Science Data Tooling — Packaged Scientific Python
I developed scientific-data tools through NASA internships and UMBC research, including conversion to netCDF4 and parsing into pandas DataFrames. cosmic-crunch and noaa-gml-file-reader are published on PyPI; I also contributed to collaborative cloud-anomaly analysis.
ncarnate — Legacy Scientific Data to Modern netCDF4
I rebuilt ncarnate to convert supported HDF4 and netCDF data into netCDF4, verify stored values against the source, and reconstruct coordinates for supported satellite grids and swaths. The Python CLI and library are published on PyPI and conda-forge.
Service Operations Map
I turned a septic-services business’s customer spreadsheet into a touchscreen map with pricing zones, service-due heatmaps, and upsell flags. The shop adopted it in place of its sticker wall map.
Writing
Introducing ncarnate: converting HDF4 and netCDF to netCDF4
Converting legacy scientific data into netCDF4, with an AMSR-E sea-ice example.