Resume
Table of Contents
For more information on my experience, you can also have a look at my LinkedIn profile where almost everything is listed there.
Skills #
Proficient | Python | C/C++ | PyTorch | Reinforcement learning | Medical imaging |
---|---|---|---|---|---|
Familiar | Docker | Julia | Javascript | SQL | |
Soft | Conscientious | Research | Curious | Creative | Leadership |
Education #
MSc. Computer science #
University of Sherbrooke (Jan 2024 - )
Reinforcement learning for tractography (Director: Pr. Pierre-Marc Jodoin)
BSc. Computer science #
University of Sherbrooke (Aug 2020 - Dec 2023). GPA: 4.16/4.3.
Experience #
Graduate Teaching Assistant #
Machine learning course (IFT603/IFT712: W24, F24)
University of Sherbrooke, Sherbrooke (Winter 2024)
- Correct students theoretical answers about machine learning and code in Python.
- Answer student questions about machine learning exercices.
Undergraduate Teaching Assistant #
System programming course (IFT209: W23, W24)
University of Sherbrooke, Sherbrooke (Winter 2023, Winter 2024)
- Answer student questions about system programming (binary and logical operators, logic circuits, NES programming)
- Correct student work in ARMv8 assembly.
Artificial Intelligence Developer, Internship #
Menya Solutions (May 2023 - August 2023)
- Derive PDDL location related predicates using a simulated 3D environment based on VRML scenes using C++.
- Coordinate and supervise a group of new colleagues in inter-mandate to help the development of several areas of the Canadarm3 project.
- Find best path planning algorithm for Canadarm3 simulation environment using C++ and OMPL.
Software Developer, Internship #
Nuance Communications, Montreal (Sep 2022 - Dec 2022)
- Replaced regression testing servers with Docker containers to speed up and simplify the process of running the regression tests manually.
- Generated and augmented data for a new intent for a test NLP project in healthcare.
Autonomous flight research project, Student Developer #
National Research Council, Ottawa (Jan 2022 - Sept 2022)
- Integrated a networking protocol to share autonomous aircraft mission data across multiple systems.
- Co-developed a navigation display for pilot supervision of the autonomous aircraft during each mission.
- Refactored a multi threaded network architecture to ease the addition of more systems on the aircraft.
C++ Developer, Internship #
Optel Group, Quebec City (May 2021 - Dec 2021)
- Migrate the TensorFlow API from C++ to C to ease future updates of the binaries and the dependencies management.
- Add OpenCV DNN as an inference library to improve image classification time (based on benchmarks).
- Setup continuous integration on the NN library with GitLab CI/CD.- Migrate the TensorFlow API from C++ to C to ease future updates of the binaries and the dependencies management.
- Add OpenCV DNN as an inference library to improve image classification time (based on benchmarks). - Setup continuous integration on the NN library with GitLab CI/CD.
Scholarships & Bursaries #
Bursary name/details | Level | Organisation | Date obtained | Amount |
---|---|---|---|---|
FRQNT master’s training scholarships | Provincial | Fonds de recherche du Québec Nature and Technologies | 2024-04 | 33 334 CAD |
Upper Bound Talent Bursary | National | Alberta Machine Intelligence Institute | 2023-12 | 1250 CAD |
AI Week Talent Bursary | National | Alberta Machine Intelligence Institute | 2022-03 | 1500 CAD |
Bursary for excellency in computer science | University | Quebec Government | 2021-01 | 1000 CAD |
Admission bursary in computer science | University | U of Sherbrooke | 2020-12 | 500 CAD |
Awards, distinctions #
Award name/details | Level | Organisation | Date obtained |
---|---|---|---|
Canadian All-Academic: based on academic excellency of student-athletes | University | USports | 2021, 2022 & 2023 |
Mention of excellence-faculty awards | University | U of Sherbrooke | Fall 2021 and Winter 2023 |
Osentreprendre laureate for entrepreneurship for my clothing company, Prône. | Local | Osentreprendre | 2018 |
Athlete of the Year: based on sporting and academic performances | Local | Marie-Rivier highschool | 2018 |
Extracurricular Implications #
Activity | Date |
---|---|
2024 Summer school on deep learning for medical imaging | July 2024 |
Projects #
Consult my portfolio