I was the project manager for the lower-level motion planning and controls for autonomous excavators. Before assuming that role, I focused heavily on making our GPS software reliable and our robot infrastructure robust.

As Motion Planning Capability Lead across autonomous water programs, worked with all major stakeholders to design a flexible global/local motion planning architecture that met requirements across all programs.

Designed, implemented, and tested obstacle avoidance algorithm for deployment on Naval Undersea Warfare Center autonomous underwater vessel.

Designed, implemented, and tested flexible software infrastructure to allow multiple methods of elevation control for autonomous undersea vehicles.

Developed, validated, and documented algorithm on covariance propagation technique to calculate parachute uncertainty for US Air Force Airdrop delivery of cargo.

Led testing efforts for parachute-based hazard avoidance algorithm that resulted in numerous bug fixes and recommended changes leading to a 5x speed increase.

Recipient of the 2017 and the 2018 Outstanding Contribution Award.

Created algorithm for automatic assignment of descriptive tags for mobile application reviews to enable users to quickly understand reviewer sentiment, faulty behavior, and requests.

Expanded mobile application download and revenue prediction by incorporating multiple linear regression model to increase estimate accuracy.

Implemented a distributed, parallelized crawler capable of crawling 3500 pages/min to facilitate error rate and PageRank analysis of Kayak.com.

Wrote internal dashboards using Django to provide both SEO traffic/revenue information and link structure/page structure errors.

Utilized Weka to perform KNN-based similarity score generation for pages of both similar and dissimilar types.

Implemented advertiser cost-per-click bidding guidance utility by simulating production bidding process to generate revenue from increased advertiser bids.