Adrien Carrou

• Oversaw the use and optimization of proprietary software tools, enhancing test efficiency.
• Modernized and streamlined legacy tools to bolster system compatibility and performance.
• Developed tests for components and integration, enhancing flight software performance and minimizing verification errors.

• Developed and configured the automation pipeline for simulations and Satellite test scripts.
• Wrote Documentation of work completed, configuration, and how to run/use the pipeline.
• Leveraged Linux and Python libraries to enhance development processes and automation reliability.

• Engineered three drone prototypes, achieving optimal hardware and firmware configurations for test flights.
• Led a team of 4 interns in engineering to test prototyped drones for transitional flight.
• Programmed the Ackerman steering solution in C/C++ employing Arduino, VESC hardware, and software

Astraeus-I Board:

Astraeus-I is a versatile multipurpose board meticulously designed for advanced avionic systems. Embedded with essential sensors, innovative modules, and customizable MicroMod processors, Astraeus-I stands out as an epitome of reliability and efficiency in the realm of avionics. To obtain this state-of-the-art avionics board, please fill out the order form.

Astraeus-Library:

The Astraeus-Library is a curated collection of software packages, initially designed for the Astraeus-I board but with an ambitious vision extending into avionic systems. At its core is libhal, a library that simplifies the complexity of hardware interfaces. Through libhal’s unified API, we guarantee software portability across an expansive range of hardware platforms, enabling the same code to seamlessly operate on various processors and devices. This is especially crucial in the avionics sector, where reliability and adaptability are paramount.

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

Masters of Science in Electrical and Computer Engineering

Bachelor of Science in Computer Engineering

Programming Languages

• C/C++: Extensive experience in developing embedded applications.
• Python: Proficient in scripting and automation for embedded systems.

Embedded Systems

• Firmware Development: Expertise in writing and optimizing firmware for various microcontrollers.
• Hardware Design: Skilled in designing and prototyping hardware components.
• PCB Design: Proficient in designing and fabricating PCBs for custom hardware solutions.
• IoT (Internet of Things): Experienced in building and deploying IoT solutions.
• Computer Vision: Implemented computer vision algorithms for embedded applications.
• Machine Learning: Applied machine learning techniques to enhance embedded systems’ capabilities.

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.
• BLE: Implemented Bluetooth Low Energy communication for IoT devices.
• CAN: Experienced in Controller Area Network communication for automotive applications.
• MQTT: Utilized MQTT for lightweight messaging in IoT applications.
• LoRaWAN: Developed long-range communication solutions using LoRaWAN.

Development Boards and Microcontrollers

• Raspberry Pi: Developed various projects using Raspberry Pi for prototyping and deployment.
• Arduino Microcontrollers: Extensive experience in using Arduino for rapid prototyping.
• ESP Microcontrollers: Skilled in developing IoT solutions with ESP microcontrollers.
• STM Microcontrollers: Proficient in using STM microcontrollers for complex embedded applications.
• nRF Microcontrollers: Experienced in developing BLE and IoT applications with nRF microcontrollers.

Sensors and Peripherals

• 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: Experienced in using accelerometers for motion detection and analysis.
• Gyroscopes: Implemented gyroscopes for orientation and angular velocity measurement.
• Pressure Sensors: Integrated pressure sensors for environmental monitoring.
• Temperature Sensors: Skilled in using temperature sensors for various applications.
• Humidity Sensors: Utilized humidity sensors for climate control systems.
• Soil Moisture Sensors: Developed agricultural solutions using soil moisture sensors.
• Air Quality Sensors: Implemented air quality sensors for pollution monitoring.
• Ultrasonic Sensors: Used ultrasonic sensors for distance measurement and obstacle detection.
• PIR Sensors: Integrated Passive Infrared sensors for motion detection.
• Hall Effect Sensors: Utilized Hall effect sensors for magnetic field detection.