CV
Education
- M.Sc. in Computer Science (Thesis), Mila / Concordia University, Jan 2026 – Present
- Specialization: Machine Learning
- Supervisor: Prof. Mirco Ravanelli
- Focus: Hyperparameter Optimization (HPO), Scaling Laws
- B.Comp.Sc., Artificial Intelligence & Systems, Concordia University, Sep 2022 – Dec 2025
- GPA: 3.85 (Dean’s Honour List 2022-2023)
- Diploma of College Studies (DEC), Le Cégep de la Gaspésie et des Îles, May 2016 - Jul 2018
- Focus: Computer Science Technology
Research Experience
Graduate Researcher Mila / Concordia University (Jan 2026 – Present)
- Supervisor: Prof. Mirco Ravanelli
- Conducting research on hyperparameter optimization and scaling laws in large-scale speech and vision models.
- Building distributed training pipelines for comparative optimization studies on Compute Canada clusters.
- Preparing a manuscript on capacity-aware optimization and data-efficient scaling.
Undergraduate Research Intern Mila / Concordia University (Jun 2025 – Dec 2025)
- Supervisor: Prof. Mirco Ravanelli
- Contributed to ML systems research and large-scale experimentation workflows.
- Supported reproducible training and evaluation pipelines on HPC infrastructure.
Projects
- Multi-Agent Chatbot System: Developed a collaborative multi-agent system capable of complex task delegation and conversational context management.
- Aerial-to-Map Translation (Pix2Pix): Implemented a Conditional GAN (Pix2Pix) architecture in PyTorch. Conducted quantitative analysis comparing generated map quality against unconditional GAN baselines.
- Montreal Temperature Forecasting: Designed a multi-model ensemble framework for hourly temperature prediction. Automated data processing workflows and evaluated performance against single-model regressors.
- MiniChess AI Agent: Implemented an adversarial game-playing agent using Minimax algorithm with Alpha-Beta pruning and heuristic optimization for decision making.
Technical Skills
- Research Areas: Hyperparameter Optimization (HPO), Scaling Laws, Distributed Training, Reproducibility Practices
- ML Frameworks: PyTorch, SpeechBrain, Scikit-Learn, NumPy/Pandas
- HPC & Infrastructure: Slurm, Compute Canada, Linux/Bash Scripting, Docker
- Programming Languages: Python (Advanced), C++, C, Java, SQL
Awards & Recognition
- Undergraduate Research Assistantship, Mila/Concordia University (2024)
- Dean’s Honour List, Concordia University, Gina Cody School of Engineering (2022-2023)