Adrien Carrou

• Develop and maintain C/C++ flight software for spacecraft mechanism control across a multi-processor LLP/HLP architecture, including stepper motor controllers for solar array drive and beam articulation mechanisms, sensor I/O, and command/telemetry interfaces.
• Diagnose cross-system flight software issues by tracing telemetry chains, autonomous fault-detection monitors, and stored command sequences across software bus boundaries.
• Write Google Test unit tests for motor control logic, service routines, and housekeeping telemetry; debug segmentation faults and integration failures.
• Verify ground-system command and telemetry database entries against C struct layouts at the bit level to support cross-subsystem command-table updates.
• Build Python-based hardware-in-the-loop and software-in-the-loop test infrastructure to exercise full mode-transition state machines and validate motor actuation end-to-end.
• Coordinate feature integration across a distributed team using Git submodule workflows, including merge-conflict resolution and multi-repo branch strategy.

• Founded company specializing in multispectral and hyperspectral imaging systems.
• Lead embedded firmware and hardware development for sensor integration and acquisition pipelines.
• Designed multi-layer PCBs and FPGA-based acquisition logic for high-throughput sensing applications.
• Built custom firmware optimized for client-specific reliability and performance requirements.

• Built simulation and test-automation pipelines for satellite flight software verification, including configuration management and reproducible-run procedures.
• Wrote Python tooling for log parsing, test harness setup, and result aggregation across simulated and real-hardware runs.
• Authored configuration, runbook, and integration documentation for downstream test engineers.

• Developed avionics systems for prototype vehicles, integrating hardware and firmware for test flights.
• Led a team of 4 interns in engineering and testing prototypes for transitional flight modes.
• Programmed control solutions in embedded C/C++ using Arduino and VESC hardware.
• Supported integration testing and test automation for avionics subsystems.

M.S. in Electrical and Computer Engineering

Coursework: Digital Signal Processing, Image Engineering, Probability & Stochastic Processes

Bachelor of Science in Computer Engineering

Open-source embedded avionics resources designed to make it easier for someone to learn how spacecraft electronics actually work, without needing access to a lab.

• Developed firmware and multi-layer PCB design for Astraeus-I, an avionics development board built around an ARM Cortex-M class MCU with onboard sensor acquisition, data logging, and fault handling.
• Contributed sensor drivers to libhal, an open-source embedded hardware abstraction layer providing a unified API across hardware interfaces (GPIO, SPI, I2C, UART, ADC) for portable embedded C/C++ development.
• Authored documentation to make the library usable without lab access.

A wildfire monitoring system built using a distributed LoRaWAN network.

• 1st Place Overall ($500)
• Best Use of Azure

An IoT bottle that tracks water consumption.

• Best Health Hack
• MLH’s Best Hardware Hack
• QB3’s Best Big Data for the Improvement of Health Care ($1000)

A smart bicycle system that can detect oncoming cars using machine learning techniques.

• Most Technically Challenging Hack

A mini monster truck that can collect air and soil data.

• Best Use of Web Automation Technology

A full stack IoT barbell collar that automatically records number of reps and time under tension.

• Best Health Hack

Programming Languages

• C/C++: Extensive experience developing flight software and embedded applications on real-time targets.
• Python: Proficient in test automation, hardware-in-the-loop infrastructure, and tooling for embedded systems.
• Bash: Proficient in shell scripting for automation, build systems, and CI/CD workflows.
• Tcl: Used for test scripting and integration tooling in flight-software environments.
• MATLAB: Utilized for data analysis, DSP, and algorithm development.
• Verilog: Experienced in hardware description language for FPGA development.
• VHDL: Skilled in hardware description language for FPGA and ASIC design.
• JavaScript / HTML / CSS: Comfortable with web tooling for IoT dashboards and personal projects.

Frameworks & Platforms

• Flight Software: cFE / cFS for spacecraft flight software development and testing.
• Real-Time OS: FreeRTOS for embedded and real-time targets.
• Linux: Daily driver across Ubuntu, Rocky Linux, and embedded Linux distributions.
• Containers & Builds: Docker for reproducible build/test environments; CMake for cross-platform builds.
• Test Frameworks: Google Test for C/C++ unit and integration testing.
• Robotics: ROS for robotics middleware and integration.

Embedded Systems

• Firmware Development: Expertise in writing and optimizing firmware for real-time and resource-constrained MCUs.
• Hardware Design: Skilled in designing and prototyping hardware components and avionics boards.
• PCB Design: Advanced experience in multi-layer PCB design for complex embedded systems.
• PCB Tools: Proficient in Altium Designer, KiCad, and Eagle for schematic capture and layout.
• Signal Integrity: Controlled impedance routing and high-speed design techniques.
• PCB Manufacturing: Experience with fabrication processes, DFM, and assembly techniques.
• IoT (Internet of Things): Experienced in building and deploying IoT solutions.
• Computer Vision: Implemented computer vision algorithms for embedded applications.
• Machine Learning: Applied ML techniques to enhance embedded systems’ capabilities.

FPGA Development

• FPGA Platforms: Extensive experience with Xilinx, Intel/Altera, and Lattice FPGAs.
• Development Tools: Proficient in Vivado, Quartus Prime, and ISE design environments.
• RTL Design: Designed and implemented complex digital systems using RTL methodologies.
• IP Core Development: Created custom IP cores for specialized hardware acceleration.
• Hardware Acceleration: Implemented parallel processing solutions for computationally intensive tasks.
• FPGA-SoC Integration: Experience integrating FPGAs with embedded processors (Zynq, SoC FPGA).
• High-Speed Interfaces: Implemented LVDS, SerDes, and other high-speed protocols in FPGA fabric.

Communication Protocols

• I2C: Proficient in implementing I2C communication for sensor interfacing.
• UART: Extensive experience in serial communication using UART.
• SPI: Skilled in using SPI for high-speed data transfer in embedded systems.
• CAN: Experienced in Controller Area Network communication for spacecraft and automotive applications.
• BLE: Implemented Bluetooth Low Energy communication for IoT devices.
• MQTT: Utilized MQTT for lightweight messaging in IoT applications.
• LoRaWAN: Developed long-range communication solutions using LoRaWAN.

Development Boards and Microcontrollers

• STM Microcontrollers: Proficient with STM32 for flight and embedded applications.
• ESP Microcontrollers: ESP32 for IoT and prototyping.
• nRF Microcontrollers: Experienced developing BLE and IoT applications.
• Arduino: Extensive use for rapid prototyping.
• Raspberry Pi: Used for prototyping and deployment of embedded Linux projects.

Sensors and Peripherals

• Multispectral Cameras: Designed hardware interfaces and acquisition systems for multispectral imaging.
• Spectral Imaging: Experience with NIR, SWIR, and custom filter arrays for specialized applications.
• Sensor Fusion: Integrated multispectral data with other sensors for comprehensive sensing solutions.
• Depth Sensors: Integrated depth sensors for distance measurement applications.
• Cameras: Implemented camera modules for image capture and processing.
• GPS Modules: Utilized GPS modules for location tracking and navigation.
• Accelerometers / Gyroscopes: Motion detection, orientation, and angular velocity measurement.
• Pressure / Temperature / Humidity Sensors: Environmental monitoring and climate control systems.
• Air Quality Sensors: Pollution monitoring.
• Ultrasonic / PIR / Hall Effect Sensors: Distance measurement, motion detection, and magnetic field sensing.

Tooling & Workflow

• Version Control: Git and GitLab, including multi-repo submodule workflows and merge-conflict resolution.
• Code Review: Merge request / pull request review workflows on distributed teams.