Implemented and trained M-RCNN to identify cars from satellite imagery with 92% accuracy.

Developed regression model to correlate results from M-RCNN to quarterly sales. Predicted

Designed and constructed automated data pipeline, transforming county-wide MrSID files into JPEGs containing a store's parking lot.

Helped develop inference engine and corresponding classification model using TensorFlow and other M.L. libraries.

Incorporated a micro-services based application architecture.

In-application database of malware corpora updated in real-time with results of scanner.

Reduced and simplified retraining methodology to simply pushing new batches of malware