DSP Lead Engineer. End-to-end DSP system (I.e. ADCs, tuning, channelization, reconstruction, filtering, down/up conversion, detection) design, simulation, bit-true verification, FPGA implementation, and integration/test using MATLAB, Python, C++, and AMD Vitis HLS (high-level synthesis).Led team on program responsible for developing/integrating next-gen satellite payload containing RF receiver and pre-detection wideband channelizer for optimizing downlink efficiency. Agile team utilizing DevOps principles. Hardware stack: ESW, FPGAs, ASIC, ADC, signal interfaces. Test Equipment: waveform/noise/clock generators, input/output/control FPGA. Mentored junior engineers, planned tasking, coordinated with leads and program management. Modeled, integrated, analyzed, and debugged unit DSP functionality. Developed/maintained APIs for interfacing with test/flight hardware and capturing output data. Developed automated test and analysis code/scripts that ran in continuous integration pipeline and exercised hardware to validate DSP performance requirements and generate customer deliverable test reports. Software languages/tools used include Python, C/C++, GNU Make/compilers, VxWorks, BASH, Git, GitLab, JIRA, MATLAB, HTML/CSS/Javascript, LaTeX.

Designed, developed, validated and tested advanced missile seeker embedded flight software. Agile teams. Real-time software used object-oriented code, shared memory, DMA, TCP/UDP networking and inter-processor communication, multithreading, message-driven interfaces, FPGA interfaces, BSPs, custom hardware driver APIs. Development work included hosting embedded tactical software within program-developed high fidelity simulation/modeling framework compiling/executing on Windows/Linux platforms. Integration work included reprogramming software onto custom hardware stack that has multiple cards containing SoCs, FPGAs, electronic sensor hardware interfaces; writing automated testing scripts that interface with the stack, supporting ground collect and flight test events. Developed and validated tactical algorithm code for active/passive electronic sensor state management, signal processing, and target tracking. Designed/developed embedded sensor/algorithm data file pipeline and data generation tool. Improved and maintained Azure DevOps, Jenkins, Git automated build and regression test continuous integration pipeline. Anti-tamper technology including secure processors, hardened OS, encryption. Software languages/tools used included C/C++, CMake, GNU Make/compliers, VisualStudio, WindRiver VxWorks, Python, BASH, Git, TFS, Azure DevOps, PowerShell, Jenkins, MATLAB.

Developed, validated, and maintained fighter jet Full Mission Simulator Ownship/TES/IOS software for various programs and IR&D, in Linux and Windows. Agile, Agile/Waterfall-hybrid teams. Vehicle Systems models and OFPs (gear, engine, hydraulics, flight controls/surfaces, aerodynamics/physics, electronic power systems, carrier interaction, etc.); Mission Systems models and OFPs (CNI, TACAN, GPS, RADAR, EOTS, etc.) and weapons/countermeasures; Real Time Infrastructure (network messaging models, cockpit displays & interactions, training controller / executive, audio). Software included use of object-oriented code, shared memory, multithreading, and graphics. Developed an innovative real-time debugger for use with time-sensitive, loosely coupled, distributed real-time systems; developed a supplementary tool that allows a single subsystem from a distributed real-time system to be ran stand-alone using a data capture from the entire system to facilitate rapid analysis/debugging; based on collected metrics, these tools were estimated to be generating 25% time/cost savings for the program during hardware/software integration phases. Worked with anti-tamper technology including secure processors, hardened OS, encryption. Software languages/tools used include C/C++, Fortran, OpenGL, C#, BASH, GNU Make, Intel compilers, WindRiver compilers, GNU compilers, VisualStudio, Eclipse, DOORS, ClearCase/ClearQuest, Python.

Developed, validated, and maintained fighter jet Full Mission Simulator Ownship/TES/IOS software for various programs and IR&D, in Linux and Windows. Agile, Agile/Waterfall-hybrid teams. Vehicle Systems models and OFPs (gear, engine, hydraulics, flight controls/surfaces, aerodynamics/physics, electronic power systems, carrier interaction, etc.); Mission Systems models and OFPs (CNI, TACAN, GPS, RADAR, EOTS, etc.) and weapons/countermeasures; Real Time Infrastructure (network messaging models, cockpit displays & interactions, training controller / executive, audio). Software included use of object-oriented code, shared memory, multithreading, and graphics. Rapid-prototyped and directed development of innovative, in-house feature tagging method to control insertion/removal/identification of export-controlled features in source code and binaries from a unified codebase. Developed Distributed Mission Training multi-network relay/parsing software and automated technical performance metric collection software. Software languages/tools used include C/C++, Fortran, OpenGL, C#, BASH, GNU Make, Intel compilers, WindRiver compilers, GNU compilers, VisualStudio, Eclipse, DOORS, ClearCase/ClearQuest, Python.

Developed and validated mission and flight planning software for satellite programs, including plug-ins for AGI’s STK simulation software. Developed telemetry data analysis software tools for these programs. Software tools used included Visual C++, Visual BASIC.NET, STK, Unix (BASH, CShell), OpenGL.

Developed, validated, and analyzed cutting-edge, next-generation rotor designs. Examples include JMR-ASMR (Joint Multi-Role, Articulated Single Main Rotor), S-97 Raider coaxial rotors, MRR (Army Multi-Role Rotor), UH60M protective rotor coating. Developed pre/post-processing tools for, worked with, validated, and improved RCAS, loosely coupled RCAS/CHARM, Maryland Free Wake (and associated in-house developed Genetic Algorithm optimizer), EHPIC, and MSES. Assisted with ongoing development and implementation of Georgia Tech’s rotor icing/shedding script (included GTHybrid, LEWICE, GDROP, and Chimera Grid Tools). Software tools used included MATLAB, Linux (BASH, CShell), PBS Job Queuing Software, FieldView, OpenGL, Python, Fortran.

Developed an innovative low-computational-cost general propeller analysis tool and its working theory. Researched and implemented improvements to low-end computational fluid dynamics, primarily focused on improving Lifting Line / Prescribed Wake algorithms and their application to determining aerodynamic characteristics of arbitrary control surface configurations in subsonic and transonic flow. Software tools used included Visual C++, OpenGL, MATLAB, StarCCM+, Visual BASIC for Applications.