Designed, developed, and launched a real-time point cloud visualization app to assist garbage truck drivers in avoiding collisions by seeing 360°.
•Led contextual inquiry with garbage truck drivers on 15 ridealongs to understand their driving environment and visibility pain points.
•Created 4 visualization prototypes in parallel. User tested options during think aloud sessions in a simulated driving environment.
•Wrote, tested, and deployed production code for the finalized MVP visualization in C++14 using VTK, SDL, and EGL to allow for real-time rendering on an embedded computer without an X server. Considered future iterations and built in flexibility to accommodate.
•Improved vehicle 3D models and developed Python scripts to reduce operational overhead for system install and recalibration.
•Drove product strategy, informed by competitive analysis and research findings, and produced client pitch decks, strengthened by videos of authentic user experiences collected during ridealongs.