Michael Fouche
Aerospace Engineer & Software Developer @Invariant Corporation
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WORK HISTORY
Aerospace Engineer & Software Developer @Invariant Corporation
Huntsville, AL, US
Senior Aerospace Engineer / AI-ML LeadDesigning and developing counter-UAS systems, including drone simulators, threat-tracking control systems, real-time AI target drone trackers in the EO/IR spectrums, and GPS telemetry hardware for drone tracking.Key contributions- Built VTES, a 6-DOF visual C-UAS simulation with four distinct control systems and a full Automatic Target Acquisition kill-chain through lasing — delivered in 3 months using Claude Code CLI (estimated 18 months conventionally)- Developed a real-time AI drone target tracking system for EO/IR spectrums- Developed a C++ drone simulator now fielded at multiple U.S. military installations and OCONUS locations- Designed and fielded a GPS telemetry unit for Mavic drones, providing real-time NMEA data to the base station- Implemented a complete local AI LLM system (Nginx, Python/Flask, LLM-hosting servers) — built and deployed with Claude Code CLI in a single day- Mentored an Auburn University CS graduate through AI threat detection system development and NVIDIA Jetson deployment- Primary advocate for company-wide AI adoption — successfully drove executive leadership to implement Claude AI tools and training across the organization.Tech stack: C++, Python, MATLAB, Linux, AI/ML, control systems, simulation, MQTT, NVIDIA Jetson, Claude AI, Claude Code CLI.
EDUCATION
Auburn University
Aerospace Engineering, Aerospace, Aeronautical and Astronautical Engineering
SKILLS
ABOUT MICHAEL FOUCHE
Aerospace engineer with 35 years of experience in AI/ML, autonomous flight control, GN & C, drone systems, counter-UAS, and simulation — starting with neural network flight control research at Boeing in 1990.I built and flew AI-controlled drone helicopters using Feed-Forward Neural Networks for both inner-loop attitude control and outer-loop velocity guidance. Four airframes, three powerplant types, all under full autonomous AI control. Patent granted in 2004.Today, I design and build counter-UAS systems, AI threat detection and tracking, drone simulations (3-DOF and 6-DOF), control systems, and avionics hardware integrations. I use Claude AI and Claude Code CLI extensively. A recent 6-DOF visual C-UAS simulation with a full kill-chain sequence was delivered in 3 months using the Claude Code CLI, a process that would have taken approximately 18 months with a traditional engineering team.I also advise independently on autonomous drone programs and have been integrating AI/ML into engineering workflows for over two years.Core technical areas: AI/ML, GN & C, autonomous flight control, C-UAS, drone systems, simulation (3-DOF / 6-DOF), control systems, sensor integration, MATLAB, C/C++, Python, React, NVIDIA Jetson, Claude AI / Claude Code CLI.Active DISS secret clearance. Auburn University, Aerospace Engineering, 1986.
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