Skillset includes C / Rust / Java / Matlab on Linux.Supporting research in autonomous vehicles.21 micro-services using Spring Framework,45 proof-of-concepts using Tensorflow, JNA, AWS ( S3 and DynamoDB ).Some work with ROS and CUDA. And a long list of various technologies.

Skillset includes: C / Rust / Java / Matlab on Linux. Java for RESTful Web Services using CLion / IntelliJ. Matlab { Parallel Processing, GPU Accelerated, Signal Processing and Wavelet toolboxes }.Field recording and wavelet analysis of avian and cetacean acoustics. Design and implementation of real-time wavelet detection and classification schemes using 'wavelet profiles' for signals of interest. Design and implementation of custom wavelets.Developed an automated 'click detector' specifically designed for the detection of odontocete clicks, and especially those of the Ziphidae. Developed a novel way of demarcating avian vocalizations that does -not- use frequency or energy. Developed an automated classification methodology for those vocalizations. Wrote a 48-bit imaging library to support renderings made from this work.Customers have included Nokomis, Inc., Monterey Bay Aquarium Research Institute, Applied Physical Sciences, Inc., Analysis, Design and Diagnostics, Inc., and Integrated Systems Solutions, Inc.

Multimodal mining for clinical decision support in healthcare.

Designed and developed parallel processing cetacean acoustics classification software using Matlab, Java 8 and HTCondor on Ubuntu. Functionality could process thousands of 500MB files looking for particular events { designed to handle 23TB per year }. Proof-of-concept client/server classifier in Java could classify 20 million detections per hour on a desktop PC. Contributed to the paper “New Passive Acoustic Monitoring in Monterey Bay National Marine Sanctuary” presented at IEEE Oceans ‘16” conference in Monterey, California.