Élodie Côté-Gauthier
Montreal,Canada
Summary
Dynamic and results-driven professional with hands-on experience at EXFO Inc., specializing in AI integration and data analytics. Proficient in Python and machine learning, I excel in collaborative environments, driving innovative solutions and enhancing performance. My mentorship roles at McGill University showcase my commitment to fostering learning and problem-solving skills in others.
Overview
6
6
years of professional experience
Work History
Internship: Artificial Intelligence and Data Analytics
EXFO Inc.
Montreal, Canada
05.2025 - Current
- I contributed to the development and integration of AI-powered software solutions and data ingestion pipelines.
- I collaborated closely with AI researchers and product teams to develop effective and high-performance AI solutions.
Lifeguard/Swimming instructor
Municipality of Longueuil
Longueuil, Canada
06.2020 - 06.2025
- I ensured the safety of swimmers, enforced water safety regulations, and provided swimming lessons to individuals of all ages to develop their aquatic skills and confidence in the water.
Internship: Computer Science Research in Reinforcement Learning
MILA - Quebec AI Institute and McGill University
Montreal, Canada
05.2024 - 04.2025
- I conducted an empirical study on regret in continual bandit learning using Python, under the supervision of Professor Doina Precup, focusing on analyzing adaptation and performance in non-stationary environments.
Mentor for Electromagnetism and Optics (PHYS142)
McGill University
Montreal, Canada
01.2024 - 04.2025
- I assisted students in understanding complex concepts, provided academic support, and contributed by designing problems for assignments to enhance their learning experience.
Internship: Material Physics Research with Applied Machine Learning
McGill University and Nanoacademic
Montreal, Canada
05.2023 - 09.2024
- During my Internship with Professor Hong Guo, I applied machine learning techniques to molecular dynamics simulations, optimizing models to better understand material behavior at the atomic level.
Mentor for Foundations of Programming (Python) (COMP202)
McGill University
Montreal, Canada
08.2023 - 12.2023
- I assisted students in understanding core programming concepts, debugging code, and improving problem-solving skills, while also providing guidance on assignments and coursework.
Education
Master of Computer Science - Reinforcement Learning
McGill University and MILA - Quebec AI Institute
01.2027
Bachelor's degree - Physics and Computer Science Honours program
McGill University
04.2025
Skills
- Python
- Machine learning
- Data analysis
- AI integration
- JAVA
- C
- C
- BATCH
- LAMMPS
- Ocaml
- SQL
- Linux
- Git
- MS Office applications
- Tensorflow
- Pytorch
- NumPy
- Pandas
- Matplotlib
- Docker
- Flask
- Canary release
- Copilot Studio
Awards
- First-Class Honours, B.Sc. in Physics and Computer Science, 30/04/2025
- Tomlinson Engagement Award for Mentoring, McGill University, 05/01/23
- Scholarship for academic excellence, Desjardins Bank, 01/01/22
- Winner of the Problem Competition, The Student Advisory Council at the Canadian Association of Physicists, 01/01/22
- Represented Canada in the International Physicists' Tournament, 05/01/23
- Governor General's Academic Medal, Government of Canada, 01/01/20
- Distinction Award for Opti-Math competition, 01/01/19
- Award for highest academic achievement in the International Baccalaureate program, 01/01/19
- Award for academic excellence in History, National Society of Quebecers Richelieu-Saint-Laurent, 01/01/18
Courses Completed
- COMP 551 Applied Machine Learning
- COMP 579 Reinforcement Learning
- COMP 545 Natural Language (NLP) Understanding with Deep Learning
- COMP 585 Intelligent Software Systems (MLOps)
Volunteer Experience
- Conducted an empirical study on forward vs. reverse KL regularization in reinforcement learning fine-tuning of large language models LLM with MILA, 2025.
- Built a full production-style movie recommender system, using Docker, Flask microservices, CI/CD pipelines, and monitoring, 2025.
- VP Communications for McGill International Physicists' Tournament club, 2024.
- Participant in a reading group about AI Ethics and Social Media with Professor Joseph Vybihal at McGill University, 2024.
Websites
Languages
English
Full Professional
French
Native/ Bilingual
Timeline
Internship: Artificial Intelligence and Data Analytics
EXFO Inc.
05.2025 - Current
Internship: Computer Science Research in Reinforcement Learning
MILA - Quebec AI Institute and McGill University
05.2024 - 04.2025
Mentor for Electromagnetism and Optics (PHYS142)
McGill University
01.2024 - 04.2025
Mentor for Foundations of Programming (Python) (COMP202)
McGill University
08.2023 - 12.2023
Internship: Material Physics Research with Applied Machine Learning
McGill University and Nanoacademic
05.2023 - 09.2024
Lifeguard/Swimming instructor
Municipality of Longueuil
06.2020 - 06.2025
Master of Computer Science - Reinforcement Learning
McGill University and MILA - Quebec AI Institute
Bachelor's degree - Physics and Computer Science Honours program
McGill University