I completed a research internship in quantum machine learning with Professor Kourtis at the University of Sherbrooke during the summer of 2024. I focused on developing new classification algorithms, leveraging tools such as Torch, NumPy, and other data science libraries..
I work as a intern in planetary robotics at the Canadian Space Agency (CSA) in Montréal. I developed a mission planning tool for the canadian lunar rover. I mainly use Django and React and contributed to the development of path planning algorithms. (RRT* and GA) I use Agile methodologies and managed an Openshift cluster.
During the summer of 2023, I was as a lab assistant for the course MTI882B (Algorithmic aspects of quantum computing) at ÉTS. My responsibilities included creating learning resources, specifically Notebooks. I also taught students about Pennylane and various quantum computing algorithms.
I worked at Orolia, which is now part of Safran S.A. I was in the division which develops the GNSS simulator (Skydel). I mainly work with C++, Python and MATLAB. I also work on signal processing/generation.
I started in electrical engineering and changed to software engeneering since I discovered that I prefer high level programming. During the following semester, I took additional credits to avoid being delayed in my degree.
During this internship, I did circuit simulation, microcontroller analysis, and work on the implementation of a version control system. Following my internship, I receive a productivity scholarship.
I obtain my degree in Electronics Technology - Computers and Networks at Cégep régional de Lanaudière à Joliette.
I did an internship at Équi-tel, a telecommunications company. During my internship, I configured IP networks and configured telephone systems. I continued to work after my internship to manage the cloud infrastructure and lead several projects involving linux.
This award is given by the Ministry of Education and Higher Education of Quebec to students who perform in a field related to technology.
Lion gives this award to an intern who distinguishe himself during his internship.
I participated in ELROB, Europe’s toughest and longest-running field robotics event, with the CAPRA robotics club. I focused on mapping and navigation and AI for a search-and-rescue scenario. For the new student club robot, Rove, I developed the Docker architecture, ROS2 core system, the tracking AI, inverse kinematics for the arm, exploration algorithm, Gazebo simulation, and 3D SLAM mapping. I also contributed to the hardware interface.
Best effort
In this competition, we solved a variation of the VRP problem using distributed quantum machine learning algorithms.
Honorable mention from NVIDIA
This competition was similar to the previous one, but in this one, we also developped circuit cutting algorithms to reduce noise in quantum circuits.
We finished 16/643 on the coding challenge
I did this competition with the student club CAPRA where I was in charge of the mapping and navigation of the robot. The goal was to rescue a dummy in a radioactive nuclear power plant.
Best in class in search and rescue challenge
Various quantum computing challenges were proposed by Xanadu. During this competition, we work with Hamiltonian simulation and quantum machine learning.
We finished 25/726 on the coding challenge
The goal of the competition was to create a quantum algorithm to solve an industrial problem. During this competition, my team and I developped a quantum support vector machine to classify text. (3rd place)
We finished third in a highly competitive field
During this competition, we designed of a tool to test health literacy.
During this competition, my team developed artificial intelligence capable of predicting forest fires based on satellite data. (First place (Halifax))
We finish first in our division
Torch, Tensorflow, sklearn, tensorboard, nltk, Q-learning, robotflow
Gazebo, ROS2, OpenCV, Rerun, CAN, Habitat-Sim, Gym (Gymnasium)
Python, C, Java, C++, R, typescript
Django, React, pandas, numpy,Qt (python and c++), Node.js
Qiskit, Pennylane, Pulser, Q#, Snowflurry, QAOA, QML
VSCode, Docker, Wireshark, Git, Android studio, Unity, Fusion360
Linux, ESXI, Windows Server 2019, Windows
Leadership, Creativity, Adaptability, Empathy
The IBM Qiskit certification demonstrates proficiency in using Qiskit SDK to address quantum computing challenges using the Python programming language.
Issue : September 16, 2023
None
The tensorflow certification demonstrate the proficiency in using TensorFlow to solve deep learning and ML problems. (Valid until May 23, 2025)
Issue : May 23, 2022
Expiration : May 23, 2025
The project had the goal to control my domotic system with a camera.
The project is a IOT server that can perform OTA firmware upgrade.
This is a wand that can control the color of a lamp. I use C language for this project.
For this project, I created a simple game and an AI. I used a genetic algorithm for this AI (NEAT).
