- Directed engineering activities at Hummingbird Systems (https://hbird.tech/)overseeing development of a first-of-its-kind autonomous aerial drone based item picking & fulfillment system for direct to consumer e-commerce warehouse automation.− Responsibilities include: Board and investor presentations, Technical strategy and road-mapping, Identifying and hiring technical management- Individual engineering contribution include: Multi-rotor propulsion optimization, Inventory mapping framework (shelf address schema from WMS <-> 3D coordinates), Developed software for real-time active winch tension control and ROS interface for overhead tether system lift force augmentation

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Experience managing large programs from concept proposal to day-to-day technical and budgetary oversight. Hands-on supervision of diverse teams of engineers and other resources, tightly integrating hardware and software through all phases of development to deliver on program requirements while advancing the state-of-the-art.Technical lead and engineering supervisor developing advanced real-time perception, planning, and control systems for autonomous unmanned aerial vehicles (UAVs) operating in GPS-denied environments, leveraging: trajectory generation, nonlinear optimal control, state-estimation, SLAM, computer vision, machine learning, and radar signal processing.

Designed and implemented optimal dynamic feedback controllers for several custom BNR mobile robotic platforms, including balancing differential drive, i.e. "Segway" style, and a balancing omni-directional , i.e. "Ballbot" style robots; deployed in large retail environments.Invented and received US Patent for a color Haar machine learning / computer vision classifier to detect and recognize product shelf labels.Developed approach for stitching thousands of shelf images into a single aisle panorama for label and product recognition with a reverse map lookup function to high-resolution bar-code readable source image data.Created new barcode (UPC/EAN/CODE128) decoding algorithm, optimized for difficult blurry images typical of moving robotic platforms. Created "Product Mapping Engine" which uses a factor graph inference model to fuse information from multiple inputs including label detections, product databases, and product recognition to form a best estimate of real-time on-shelf inventory status.

Developed laser (LIDAR) calibration software suite for Carnegie Robotics' MultiSense SL used on Boston Dynamics ATLAS robots used in 2014-15 DARPA Robotics Challenge (DRC).Implemented a synthetic aperture radar (SAR) signal processing algorithm for a ground penetrating radar (GPR) system used in mine and improvised explosive device detection.