Dounia Benkherfallah

Built an end-to-end computer vision pipeline for fall detection in smart home environments, addressing real-world challenges such as limited datasets and unrealistic training conditions.

Computer Vision Intern at AI-Care (Present)

• Built an end-to-end computer vision pipeline for fall detection in smart home environments, addressing real-world challenges such as limited datasets and unrealistic training conditions.

Jr AI Engineer at BRIDGR (2023-10 – 2025-01)

• Designed and deployed a generative AI system using Gemini that automatically transforms raw questionnaire responses into comprehensive, tailored assessment reports, leveraging both data and company context through a prompt pipeline.
• Automated Client Onboarding: Engineered a Python-based automation pipeline for complex questionnaires, accelerating setup time by 60%.

Data Science Intern at SONATRACH (2023-02 – 2023-06)

• Developed a predictive maintenance solution for refinery turbo compressors by analyzing multivariate time-series data.
• Proactive Failure Prediction: Implemented and evaluated Neural Networks (LSTM), Random Forests, and anomaly detection models to predict equipment failures

Masters in Artificial Intelligence – University of Bologna (2025-01)

Masters in Data Science – University of Algiers 1 (2023-07)

Bachelor in Computer Science – University of Algiers 1 (2021-07)