Welcome on my website

My name is Pierre Brousseau, I'm passionate about technology and innovation, I enjoy designing connected solutions that combine efficiency and creativity. My background has allowed me to develop strong skills in digital engineering, embedded systems, and IoT, while maintaining a human-centered and sustainable approach. Curious and detail-oriented, I like to understand how complex systems work and turn them into practical, meaningful projects.

I am fluent in French, English and Spanish.

This website is meant to showcase my projects and professional experience.

You can contact me by:

WhatsApp: +33 6 45 98 46 00
email: brousseaupierre28@gmail.com
LinkedIn: https://www.linkedin.com/in/pierre-brousseau-b140151b0/

Degrees & Certifications

🎓 Degrees

ESME Sudria (Paris)

Master’s degree in General Engineering with a specialization in IoT and Smart Cities.

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Swinburne University (Melbourne)

Exchange program at Swinburne University, focusing on project management and embedded systems.

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📜 Certifications

Cybersecurity Operations Fundamentals

Gained foundational skills in network security, threat analysis, and incident response for SOC environments.

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Implementing Cisco MPLS

Gained skills in Implementing MPLS for advanced IP routing and traffic engineering.

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Industrial Internet of Things (IIoT)

Certification from the University of Michigan, covering connected systems, data analytics, and industrial automation.

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Digital Transformation with Google Cloud

Learned to leverage cloud technologies for business innovation, data-driven decision-making, and scalable digital solutions.

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Learning AI Through Visualization

Columbia University Certified - foundational AI, ML & DL concepts through interactive, low-code tools.

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Engineering Project Management: Initiating and Planning

Rice University certified - Engineering Project Management: Initiating and Planning.

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Experiences

Digital Engineer in Quality at Schneider Electric

from May 2025 (ongoing) - Puente La Reina, Spain

- Led an IoT project using ZigBee to monitor machine status - Downstream Communication.

- Programmed PLCs to transmit production data (good/bad parts and defect definitions) to Schneider

Electric’s software.

- Implemented an AI module in a PLC to detect production scraps and classify defective parts (starting December).

- Troubleshot PLC programs and JavaScript code within the IoT project.

- Automated data collection and developed interactive dashboards.

- Created a Power App for weekly safety inspections.

- Developed Excel VBA macros to streamline reporting.

IoT Networks Engineer Intern in the Innovation Team at Engie - Recommendation Letter

April to October 2024 (6-months) - Singapore

- Configured and deployed five IoT networks (LoRaWAN & Sigfox) for a Proof of Concept (PoC) – UpStream communication.

- Integrated IoT data into a digital platform and controller

- Automated systems using IoT sensors with the controller

- Analyzed and visualized data with Power BI

- Led coordination with two external companies deploying LoRaWAN networks

- Conducted cost analysis and managed technology deployment

IoT Project Engineer Intern - Marine Tech (Start-Up)-Recommendation Letter

2023 (4-months internship) - Six-Fours-les-Plages, France

- Deployed a LoRaWAN network to analyze water level in the Helio Farm

- Feasibility study for the creation of a non-polluting energy storage system and modeling on CATIA

My projects

Sea Turtle Robotics

https://seaturtlerobotics.com

With my twin brother, we developed a biomimetic underwater drone inspired by sea turtles, specifically designed to accompany and film divers. I notably:

- Worked on surface communication (Wi-Fi & SPI-F) as well as underwater communication based on acoustic waves;

- Participated in the design and integration of all internal systems, including Arduino, motors, battery, PDB, and electronic architecture;

- Designed and developed the project’s website using HTML, CSS, and GitHub Pages.

Networks Mapping

6 months project

For a study project, carried out in collaboration with the company Hear&Know, we developed a system dedicated to sniffing and analyzing telecommunications networks. I notably:

- Worked on the hardware setup using embedded radio modules and a controller, ensuring stable data acquisition and reliable integration with GPS for geolocation;

- Contributed to the configuration of network sniffing tools to capture and analyze radio parameters (RSSI, SNR, latency...), enabling precise mapping of network quality;

- Developed Python scripts to automate packet capture, filter relevant information, and generate preliminary coverage maps for different IoT and cellular networks;

- Implemented the MQTT communication protocol between our embedded system and AWS IoT Core, enabling secure and efficient transmission of collected data to the cloud for storage, analysis, and visualization;

Magic Mirror

4 months project

For a study project, we developed an interactive Magic Mirror for residents in nursing homes. I notably:

- Worked on the hardware setup using a Raspberry Pi 4, microphone, and camera module, ensuring the system’s stability and interactivity;

- Contributed to the installation and configuration of APIs (Google Assistant API, Spotify API) to enable speech recognition and personalized reminders;

- Collaborated on the user interface customization and system troubleshooting, ensuring smooth operation and accessibility for elderly users;

- Developed a module in Python to calculate appropriate clothing based on the weather, integrating weather API data to provide personalized recommendation