SELECTED WORKS
Field work.
Engagements documented the way we'd want to see them if we were on the other side of the table: the problem, the approach, the outcome — and the tradeoffs.
Science & Technology Corporation (STC)
Partnered with Science & Technology Corporation (STC) to streamline their deployment processes through a comprehensive CI/CD setup. Implemented robust CI/CD pipelines using AWS EKS and GitLab, automating deployments across development, sta…
A 99.2%-accurate anomaly model, running in NOAA production.
Aeroxis built the machine-learning model that flags scene-level anomalies in NOAA GOES (ABI) and JPSS (VIIRS) satellite imagery — 99.2% accurate on GOES ABI and running in production, checking every incoming Level-1b file.
STC's satellite scientists went from manual deploys to one-click production.
Aeroxis built and ran the GitLab CI/CD pipeline for STC (Science & Technology Corp.), the federal contractor behind NOAA and NASA satellite programs. We took a Python pipeline that processes GOES ABI satellite imagery from manual, error-pr…