Fast-growing startup leveraging industrial computer vision and machine learning for robotics in logistics/warehousing.Built image filtering algorithms later deployed to fully autonomous refrigerated storage warehouses. Successful deployment secured investment from Bay Grove Capital, a private equity firm based in San Francisco that own Lineage Logistics, the largest refrigerated warehousing company in the world. Currently leading engineering efforts in collaboration with Lineage to bring wide-scale warehouse automation across the globe, offering 24/7 operations and a much smaller environmental footprint.Built deep learning platform with YOLOv4/Darknet, C++, and Python to detect box corners for later use in pallet dimensioning algorithm that dynamically calculates pallet TI, HI and box count. Built automation tools that connect to Amazon S3 for data retrieval and generation of class labels, as well as dividing data into appropriate training and validation pools.Built and refined plane segmentation for 3D scans with Intel Realsense and PointCloudLibrary.Relevant experience: C++, Python, OpenCV, PointCloudLibrary, CUDA, Darknet, YOLO, Pytorch

VisaNet Integrated Payment Applications team that develops Visa’s core transactional product Responsible for designing/developing performant financial software in C++ used by billions of usersContributed significantly to Smart STIP project (now in production), which has enhanced Visa’s capability to determine potentially fraudulent transactions via machine learningBuilt Python server to route transaction data via RESTful APIs to IBM z/OS based mainframes

Simulation and virtual reality for research and top-secret government applicationsContributed and shipped complete aeronautical simulations in use at multiple government facilitiesDeveloped heads up display aircraft visualizations with C++ and Java for Lockheed Martin researchersWorked with senior engineers to modernize graphics pipeline with Vulkan

Modern computerized animal feeders designed to facilitate large-scale wildlife management Developed customer-facing cross-platform mobile app using TypeScript, Ionic, and Angular allowing users to remotely manage feeder operations with custom programs or analyze a multitude of dataInterfaced mobile app communication with feeder via Bluetooth LE and Wi-Fi Direct

SaaS home management platform leveraging augmented reality to improve household service efficiencyBuilt hybrid mobile app with TypeScript, Ionic, and Angular for handling user service needs, payment processing, and providing ability to scan indoor spaces and generate high-fidelity 3D modelsAdded capabilities for virtual space augmentation that allowed users to assign textual tags to household objects that could be “walked” through interactivelyBuilt virtual space web renderer with Three.js and WebGL allowing customer support to easily provide custom services and allowing customers to effectively manage household dataDeveloped backend services with Node.js and Express.js communicating with RESTful APIs and utilizing AWS EC2 and MongoDB for infrastructure deployment and cloud storage