Elwalid Aboulaakoul
CS and physics student at Hassan I University.
I work on machine learning systems that are easier to evaluate, audit, and trust. My current university research studies reliability failures in computer vision systems for structured scenes, with an emphasis on explicit evaluation protocols, failure taxonomies, and reproducible artifacts.
Before focusing on research, I built production-oriented ML and automation systems in industry: forecasting models and MLOps workflows at Intelcia, and internal automation tools for Euromodial.
Research Interests
- Evaluation-first computer vision and structured-scene perception.
- Failure analysis, reproducibility, and auditable evaluation in ML systems.
- Retrieval, agentic tooling, and research workflows for large corpora.
Experience
-
Hassan I University
- research work, 2026
Studying evaluation and reliability questions in computer vision and grid-grounded perception. -
SEGULA Technologies
- AI and CAE engineering intern, July 2026
Built a governed CAE assistant that turns crash simulations into evidence-linked review reports. -
Intelcia
- software engineering intern, 2024-2025
Built call-volume forecasting models, MLOps pipelines, model-quality gates, and internal data tools. -
Euromodial
- automation and internal tooling
Built workflow automations and software tools for operational processes.
Research
Contact
Email: [email protected]