M.Eng. CS (Intelligent Systems) · Building at the intersection of ML research and real-world systems
📍 Montréal, QC | ☁️ AWS ML Engineer Associate (in progress)
Master's student in Intelligent Systems at Polytechnique Montréal with a background in Neuroscience and a focus on applied ML. I enjoy going from a research paper to a working implementation and making the results explainable to the people who need them.
Previously: production forecasting optimization at Artelys Canada, neural decoding research at CoCoLab (UdeM).
ML / AI
Databases
Web / Mobile
Other
Paper replication · GNN · NLP
Reproduced results from a research paper using graph neural networks to detect misinformation spread across social networks. The graph structure encodes relationships between users, articles, and propagation paths.
PyTorch Geometric GNN NLP Python
Research · Time-series · Supervised Learning
End-to-end ML pipeline to classify MEG neuroimaging data and identify neural signatures associated with facial familiarity. Presented at the Unique Student Symposium 2024 at CERVO Brain Research Center.
MNE-Python Scikit-learn Signal Processing Python
Paper replication · RAG · LLMs
Replication and exploration of the QUASAR retrieval method applied to temporal question answering, tested on datasets requiring time-sensitive reasoning over retrieved documents.
RAG LLM HuggingFace Colab
Fine-tuning · NLP · FinTech
Fine-tuned DeBERTa-v3-base on a combined financial sentiment corpus (Financial PhraseBank + Twitter Financial News), achieving 0.862 macro-F1 — a +14.5 point lift over zero-shot FinBERT. Custom weighted trainer combining class-weighted cross-entropy and label smoothing.
DeBERTa Huggingface FinBERT Python
- 🎓 Finishing my M.Eng. at Polytechnique Montréal
- 📜 Reviewing for the AWS ML Engineer Associate certification exam
- 🔨 Building and polishing projects
- 🏃 Training for a marathon
