BOUKHAROUBA Souad

I’m a final-year student in Intelligence Artificielle and Science des Données, with strong foundations in machine learning, deep learning, NLP, and computer vision. I work confidently with large datasets and turn requirements into practical solutions using Python and deep learning frameworks.

In my current PFE as a Développeuse IA at a Belgian startup (BeLogic AI), I’m designing an agentic SaaS for legal assistance for Belgian law firms. I’m building an on-premises architecture based on open-source LLMs in line with the EU AI Act, orchestrating autonomous agents for legislation interpretation and document writing/review—while ensuring RGPD compliance and digital sovereignty.

I also completed an IT network internship at Algérie Télécom, strengthening my backend skills with PHP, database interaction, and technical documentation. My personal projects—OCR+LLM information extraction, fast neural style transfer in PyTorch, medical-text symptom classification, smart-home recommendations (Apriori/FP-Growth/Eclat), and a medication interaction predictor—reflect my commitment to reliable, data-driven systems and continuous improvement.