Software engineering student at ÉTS Montréal specializing in AI/ML, building production-grade machine learning systems end to end, from data ingestion to model serving.
I design and ship complete ML systems: data pipelines with validation and versioning, retrieval-augmented generation over real-world datasets, and full-stack applications that put models in front of users. Incoming Data Scientist Intern at Ubisoft (Smart Services, Global Publishing), working on personalization, LTV prediction, recommendation systems, and large-scale A/B testing on Databricks.
- Building RAG pipelines over Montréal open data (heritage buildings, tourism)
- Strong foundation in NLP (spaCy, NER), data engineering (DVC, Pydantic), and MLOps
- Full-stack delivery: from API design to deployment on edge infrastructure (Cloudflare)
- Product mindset: every project ships, gets indexed, and gets measured
Open to: ML Engineering · Data Science · AI Engineering · Applied Research
"Ship the pipeline. Ship the model. Ship the product."