Khalil Douba

Graduated in Applied Computer Science (Artificial Intelligence) with high distinction from PXL University of Applied Sciences and Arts. Built an OCR backend for Essers, an end-to-end MLOps pipeline with drift-triggered retraining, and a thesis applying quantile regression to CNC sensor data at ProDAV. Relocated to Belgium in 2022 and reached C2 Dutch within a year.

Machine Learning Researcher (Thesis Internship) at ProDAV B.V. (2026-02 – 2026-05)

• Researched dynamic Statistical Process Control (SPC) limits for spindle load data across 13 CNC production machines, comparing quantile regression models (bachelor's thesis project)
• Identified 9 data quality and infrastructure gaps across 4 severity levels that blocked production deployment
• Delivered a formal gap analysis with concrete recommendations on data collection, tooling metadata, and polling intervals

Professional Bachelor's in Applied Computer Sciences, Artificial Intelligence – PXL University of Applied Sciences and Arts (2023 – 2026-06)