◦ Deploying new algorithms and bug fixes on the D8, D9, and D10 series robots to improve robot navigation, significantly contributing to path planning, maneuver tuning, intelligent map placement, obstacle collision prediction, and zone cleaning.

◦ Writing the engineering and design specifications for Neato’s newest features. Actively collaborating with all stakeholders, including product, UX, QA, and engineering to flesh out specifications prior to development.

◦ Overseeing and contributing to the development of the Quick Boost and Multi-Zone cleaning features. Previously oversaw the final stages and release of the single zone cleaning feature and flagship D9/D10 robots.

◦ Managing a fully cross-functional team of 9 engineers and 3 embedded QA members to develop the next generation features for the Neato robot lineup.

◦ Integrated a new sensor, a ToF camera, along with its object detection CNN into the core robot code. Created new processes and services to capture then process data and connected the information using ZeroMQ.

◦ Designed and implemented the algorithms to dynamically map objects detected by the ToF camera on a new virtual map to supplement the current Lidar sensor and improve the robot’s obstacle avoidance.

◦ Halved the instances of robot collisions into obstacles by fixing bugs in the forward prediction algorithm and tuning the robot maneuvers.