Developed embedded on-device and cloud-based control software for a distributed sensor network that automatically detects and localizes illegal RF emitters. This was a technology transfer project for a government customer.

Developed sensor control software in C++ 11, and wrote micro-services in NodeJS to control distributed remote sensors, perform centralized signal analysis, and serve web control interface.

Integrated continuous deployment system to self-hosted Docker Swarm cluster.

TA'd CSCI 4622 (Machine Learning) - Designed homework assignments, performed 2 guest lectures on deep learning, taught bi-weekly hands-on sessions on traditional ML algorithms

Built a general object detection framework in Tensorflow 2.0.

Built the front and back-end systems for an application that allows users to label objects in image sets and give feedback to predictions from trained models (React, HTML5, Flask)

Worked with production engineers to bring the trained models into production in a streamlined manner utilizing Tensorflow's Java API.