Developed a custom real-time ECS-based simulation engine and backprojected RF scatterer simulation with CUDA and multithreaded switchable backends. Capable of processing a million scatterers in real-time in a pulse-to-pulse RF simulation. Provides GIS capabilities for placing entities on a globe for visualization and simulation. Cross-platform customizable engine built using ImGui, EnTT and OpenSceneGraph. Developed and integrated custom GLSL shaders into OSG rendering pipeline for visualizing dense point clouds. Developed massively customizeable ECS utilities to minimize effort to add new Components to engine.

Developed a computationally efficient missile flight simulation to analyze the effectiveness of customizable sensor package combinations. Sensors I developed simulation models for include Active and Semi-Active RADAR (Ka, Ku and W bands), wide-band Passive RADAR, EOIR (NIR, MWIR, and LWIR), Semi-Active LASER and various configurable Inertial Navigation Systems (INS). I implemented a rapidly configurable UI framework for preparing batches of simulation runs. Parameters in the simulation can be locked to fixed values or "Monte Carlo" to model uncertainties in specifications.

Optimized existing RADAR ISAR processing algorithms to reduce runtime by a factor of over 100x (reduced runtimes of hours to runtimes measured in seconds) by translating "hot" regions of code from Python into modern C++ utilizing Pybind11 and Eigen for developing the binding between the existing Python software and new, highly optimized C++ processing algorithms. Technologies used: Python3, C++14, Pybind11, Eigen. This task helped me to further my knowledge and understanding of state-of-the-art RADAR algorithm design alongside understanding the effects of and how to mitigate real-world data collection errors.

Designed and built a portable reprogrammer for live missile rounds using the Beaglebone platform (ARM AM3358). Implemented custom EGL backend for ImGui (Immediate-mode GUI library) to utilize hardware acceleration (SGX Graphics Processor) on the Beaglebone Black. Without hardware acceleration the baseline UI could only achieve 6fps (system CPU frequency is only 800MHz); after I compiled the OpenGLES+EGL drivers and implemented an EGL backend the system was able to maintain a redraw rate of 60hz even under heavy CPU load. For communication with the target system I developed a high-speed communication interface using the PRUs (programmable real-time units) built into the AM3358 processors. PRUs are RISC co-processors that run real-time processes at 200MHz with an exceptionally small instruction set. This enabled the system to maximize throughput through the RS485 communication lines which helped reduce the time required for fully reprogramming the rounds. Intensive safety and security considerations designed into solution. This system had to be vetted and accredited for both safety and cybersecurity. I applied the NIST 800-53 security controls to the system through the relevant STIGs, documented all aspects of the system's lifecycle as a series of SOPs (e.g. Auditing and Accountability procedures, Configuration Management, Identification and Authentication, Maintenance, etc…) for compliance and application for an ATO (authority to operate). I developed a custom initrd image for decrypting the onboard storage with a user-provided PIN via a touchscreen. Due to how early in the boot process this occurs I had to write a custom application for rendering the input dialog via the low-level graphics framebuffer interface. LUKS full disk encryption was used with a TPM for full-disk encryption for ensuring protection of the data while at rest. To support decrypting with a TPM on boot I customized the bootloader (U-Boot) to feed the boot sequence information into the TPM to unlock the decryption keys.

Developed a fully autonomous, high-precision camera positioning and stabilization system utilizing a Beaglebone Black, FLIR PTU-D300E, Phantom High Speed Cameras, and a custom designed IO PCB. Usable in maritime environments for tracking targets with high-speed cameras for video recording of test events. Also used for ground-based tracking of UAVs.

Built and maintained HUD for Captive Flight Test data collection events for use by pilots to optimize data collection. This system is split into 3 individual parts: an Android tablet that provides real-time in-flight data to the pilots, a tablet for the flight crew and sensor operators to monitor sensor status and set the moding for the pilot tablet and a data aggregation/parsing server. The server was developed on a Beaglebone Black and it's responsibility is to receive and parse the sensor data alongside INS and target GPS data and use this information to communicate optimal flight trajectories to the pilots.

Responsible for developing a fast and robust data collection and real-time analysis tool for telemetry data. Technologies used: C++11, Boost, Python, MariaDB, pybind11, Qt5. Built a system capable of handling high-throughput data streams with a data format known only at runtime that is able to be used for both field data collection and post-processing data analysis. Soft real-time high rate data processing, storage, display and visualization using run-time metadata formats. Real-world data collection and analysis. Mobile application development support and ad-hoc network utilization.

Responsible for leading development of the AMCOM Express Contracting System which handles the tracking of packages through the AMCOM Express contracting vehicle. Technologies utilized include C#.NET and Entity Framework alongside a SQL Server database and Twitter Bootstrap + jQuery for the user interface. Ensured that code met IA guidelines and performed a static code analysis using the "HP Fortify" static software analysis tool. Lead and coordinated a team of 5 engineers and completed this task quickly, efficiently and produced an end-product that is easily extensible and robust. My main development responsibility on this task was to design the entire business-logic and data interface layers utilizing Entity Framework to provide a stable and secure implementation.

Worked full-time developing multiple products for several groups ranging from data collection and analysis to image processing. Main focus is on streamlining tasks that are currently done manually by integrating mobile devices into the current workflow and minimizing labor intensive tasks by introducing custom built embedded systems utilizing cutting edge technologies to streamline data collection and analysis. Examples of devices that I've built as the sole developer are a distance-measuring sensor utilizing ultrasonic rangefinders which communicates via Bluetooth to an Android tablet for data recording and analysis. Another project that I've designed and developed is a thermal imaging camera which utilizes an IR thermopile array and a Bluetooth 4.0 Low Energy board to communicate temperature data back to an iOS device for instant viewing through a custom app. Integrated OpenSceneGraph in a custom mobile app to further aid in the collection and analysis of data.