David Breeden Email & Phone Number

Mountain View, California, US

• Planner Eval
• Behavior Signals
• Interpretable Metrics and Contexts

Pittsburgh, Pennsylvania, US

Technical Lead Manager, Motion Planning & Controls MetricsThe following are summaries of the highest-impact deliverables that my team produced.- Ride quality tools and their adoption. These tools provide insight that guides autonomy feature development, release promotion, and operational advisories. In collaboration with Resim Integration, Virtual Testing.

Pittsburgh, Pennsylvania, US

Technical Lead, Motion Planning & Controls MetricsI collaborated on the design and implementation of significant improvements to Argo's Data Analysis Framework (ADAF):- ingesting metrics to the data warehouse, streamlining that experience for metrics authors, and building the first Looker dashboards at Argo.- enabling richer testing capabilities- unlocking.

Pittsburgh, Pennsylvania, US

Motion PlanningI:- stood up ADAF "on ingest" with the Data Core team, collecting metrics from all fleet logs.- implemented metrics for route completion, performance, and stopping location.- designed and implemented templating in test configuration, reducing redundancy.- established best practices for mocking C++ extension libraries in Python unit tests..

Ivins, UT, US

We developed a legal research tool that provides access to cases and statutes with extensive metadata, and a tool that automatically analyzes user-uploaded documents with regards to arguments, drafting and context.I developed and evaluated transparent and explainable methods for:- Document parsing- Document deduplication- Entity resolution- Document.

San Mateo, CA, US

Involved in every stage of a project lifecycle, specifically including research, proposal writing, project management, requirements gathering, high- and low-level software design, Java/C++ implementation, testing, documentation and demonstration.Regularly wrote proposals for NASA and DoD contracts.Managed a Navy Phase I SBIR building a vision-based.

I conducted research for the Stanford Artificial Intelligence Robot (STAIR) Computer Vision Group, developing software to generate synthetic datasets for object recognition training.

Bellingham, WA, US

I developed user and data acquisition interfaces for real-time image mosaicing software under Prof. Kenneth Salisbury. The software obtained video from a novel high-resolution confocal microscope and performed image registration and mosaicing in real-time. I used NI LabView to acquire the video stream and MFC for the user interface. The project is.