Summary
Anas Dorbani is a PhD student and graduate researcher in computer engineering at Polytechnique Montréal and Mila, bringing four years of applied research experience in ML systems and explainability. He has delivered production-focused solutions at Oracle, where he fine-tuned 7B models for automated schema generation and cut explainability runtimes by 80% while slashing memory use, materially improving data interpretability and operational costs. Comfortable spanning research and engineering, he has deployed deep learning services on GCP with Docker and built accompanying web tooling for real-time testing. Curious and methodical, Anas combines rigorous evaluation frameworks with hands-on optimization to turn academic insights into reliable, scalable tooling.
4 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD Computer Engineering, Doctor of Philosophy - PhD Computer Engineering at Polytechnique Montréal
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Ecole Nationale Supérieure d'Informatique et d'Analyse des Systèmes - ENSIAS
French, Arabic, English