• Led the multi-phase software design for a multi-ton robotic vehicle, focusing on system architecture, systems integration, and autonomy.• Created an embedded PetaLinux operating system (OS) on an Advanced Micro Devices (AMD) Xilinx Kria K26 system-on-Module (SOM), for a 360-degree low latency video safety system.• Reviewed an internally developed wireless emergency stop system for autonomous vehicles against the MIL-STD-882E: Department of Defense Standard Practice System Safety spec making sure the software achieved the highest safety level.• Directed development of a five-pound throwable reconnaissance robot, configuring an Nvidia Jetson Xavier NX SOM, optimizing hardware integrations, deploying real-time H.264 video streaming and Interoperability Profile (IOP) Joint Architecture for Unmanned Systems (JAUS) robot command & control to facilitate connectivity with internal and third-party operator control units (OCUs).• Led the migration of the government’s Robotic Technology Kernel (RTK) 2019 software packages from the Robot Operating System version 1 (ROS 1) to the Robot Operating System version 2 (ROS 2) for three subsystems, which involved developing XML models, writing unit tests, performing the migration, documenting it, and following team development using the agile scrum methodology.

• Developed and maintained a robust build system for ROS 1 and ROS 2, enabling seamless integration of advanced robotic controls and sensors across multiple robotic platforms.• Authored a successful proposal that secured a $600,000 award for migrating various subsystems within the government’s Robotic Technology Kernel (RTK) 2019 from ROS 1 to ROS 2.• Developed a low-latency streaming camera system on the Xilinx PetaLinux OS, integrating I2C communication and protobuf serialization over the Data Distribution Service (DDS).• Led the software development for an STMicroelectronics STM32-based USB dongle, translating USB packets from Xbox One controllers into Xbox 360 controller packets for compatibility with legacy laptop operator control units (OCUs).• Used the Open Robotics Gazebo simulator to develop autonomy capabilities that included multiple waypoint navigation, obstacle detection and avoidance, and keep out areas.

• Ported QinetiQ’s internally developed autonomy packages to the Robot Operating System (ROS) and seamlessly integrated those packages into various medium sized robotic platforms.• Created the software for a compact three-pound reconnaissance robot that included low latency H.264 compressed video streaming, two-way AAC encoded/decoded audio streaming, and robot mobility commands using the Data Distribution Service (DDS) over WiFi and cellular communications.• Engineered an innovative solution that enables a single operator to control multiple field robots while actively managing mission programs from anywhere in the world through a secure, cloud-based private and/or public cellular network. Demonstrated control of robots over a low bandwidth, high latency connection and point and click autonomous operation with obstacle avoidance using the Robot Operating System (ROS).• Developed the command-and-control and audio software compliant with the Joint Architecture for Unmanned Systems (JAUS) standards for the Advanced EOD Robotic System (AEODRS) on the Texas Instruments (TI) DM368 SOM. Additionally, implemented the information assurance (IA) specifications to ensure compliance with the AEODRS requirements.

• Adapted a laptop operator control unit (OCU) graphical user interface (GUI) application for a robot's autonomy payload. This involved creating visuals to depict the robot on a top-down overhead 2-D grid and in a 3-D virtual environment, while also incorporating supplementary controls for the robot's autonomous functions.

• Developed C++ applications on Linux for interfacing with a ZigBee Wireless Module, IMU, GPS, and LiDAR sensors for a group of collaborative autonomous robots. These applications utilized the JAUS protocol for inter-process communications.

• Developed simulation software using C++ in Vector CANoe to test out next generation Infotainment Systems and used the simulation software to test system level components on a CAN-bus (Controller Area Network). • Developed a CAN-bus embedded system to gateway/bridge messages between legacy CAN equipment and new upgraded hardware.