Master's student in Computer Engineering at Polytechnique Montréal, on a double degree with ENSEEIHT (Toulouse). I like building AI/ML systems end to end: preparing data, designing and evaluating models, then deploying them.
- Looking for an AI/ML Engineer internship for summer 2027 (May 3 – Aug 31) in Montréal
- Working on an operations-centered study of disk failure prediction on 2025 Backblaze Drive Stats
- Building agentic AI tooling with MCP and Claude Code (custom skills & tools)
- HPC Engineering Intern @ Axians HPC (2025): deployed an LLM inference server (vLLM) on Kubernetes and helped design a Kubernetes × Open OnDemand integration, put into production in 2026
ML & AI: Python PyTorch TensorFlow Keras scikit-learn XGBoost Pandas
LLM & agents: vLLM MCP Claude Code OpenRouter
Infra: Kubernetes Docker Linux Bash Git GCP
Also: Julia SQL C
- Montréal Air Quality Forecasting: end-to-end ML pipeline predicting fine particles across 7 Montréal stations from 17 years of data. Missing-value handling, 20+ engineered features, 4 modelling approaches compared on RMSE. Graded 95/100.
- VNS Modularity Clustering: implementation of a research paper on community detection by modularity maximization, benchmarked on 9 DIMACS graphs (up to 31,000+ nodes).
LinkedIn · sami.mostfa@etud.polymtl.ca · Montréal, Canada
