Mohamed AIT AMARA

Built a real-time ML pipeline for multivariate time series forecasting and anomaly detection in an RFCC unit, validating models with domain experts and industry thresholds.

Contributed to backend development and ML tasks for a remote AI service, integrating APIs and supporting NLP pipelines and model evaluation/deployment.

Developed a real-time hand gesture recognition system using Kinect depth camera for human-computer interaction in serious games for hand rehabilitation therapy.

Activities and societies: Research Engineer role at LRIA and internship at Sonatrach building real-time pipelines for multivariate forecasting and anomaly detection using LSTM/Transformer-based models.

Completed second year (Master's degree 2) in Intelligent Computer Systems with applied research and internship work in time series forecasting and anomaly detection.

Activities and societies: Projects and coursework in machine learning, time series forecasting, and model evaluation; technologies included Python, TensorFlow, and NLP tools.

Awarded a Master's degree in Data Science, covering advanced machine learning, time series, and applied deep learning techniques.

Activities and societies: Research at LRIA (Artificial Intelligence Research Laboratory); developed Kinect depth-camera based gesture recognition for rehabilitation games.

Completed first year of a Master's program in Intelligent Computer Systems with research on real-time hand gesture recognition for human-computer interaction.

Activities and societies: Final projects included backend development (FastAPI, Kafka) and a serious game for hand rehabilitation using Kinect; technologies: Python, TensorFlow, ReactJS.

Completed a Bachelor's degree in Information Systems and Software Engineering focusing on software development and systems design.