- Designed a cloud-based data-engineering system for near-realtime extraction of time series data fromPB-scale satellite imagery from multiple constellations, accessible via API- Developed ML data-fusion algorithms for multi-resolution pooling of observations from multipleconstellations to produce a global, 10m NDVI data product- Worked with enterprise customers to provide application-specific integrations for agriculture, forestry and energy infrastructure use cases

Built ML model for electrophoresis imagery detection/classification/quantification

- Built a data-engineering service for real-time API access to TBs of high-res weather/climate geodata- Created a generative ML model of dynamical climate simulation archives for high-res disaster risk

- Hired and managed a team of engineers and interns- Produced flood and waterflow forecasts (realtime and long-term) using ML sensor fusion on rivergauge, weather, and climate model data- Pitched and raised venture funding and secured enterprise contracts

Built end-to-end computer vision pipeline for microarray qPCR device

- Built hardware systems for laser illumination in fluorescent microscopy and ultra-fast video-imaging on biomedical diagnostic devices- Developed a near-realtime CV pipeline using convolutional methods and statistical ML for microscopic flow data on a point-of-care device