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@mohamedaitamara
AI / MLOps engineer building end-to-end ML systems for time series, NLP, and computer vision.
I am an AI and MLOps engineer with hands-on experience building end-to-end machine learning systems, including real-time time series forecasting and anomaly-detection pipelines, NLP services, and computer-vision solutions. I have completed internships and research roles where I designed production-ready backends, integrated APIs, and validated models with domain experts.
My technical toolkit includes Python, TensorFlow, FastAPI, Kafka, ReactJS and modern ML libraries; I combine research-driven approaches with practical system integration to deploy robust, scalable solutions. I am passionate about applied research across time series, NLP, computer vision, and optimization and enjoy collaborating with cross-functional teams to deliver impact.
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Work history, roles, and key accomplishments
Sonatrach
Sep 2024 - Jul 2025 (10 months)
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.
Eden AI
Jul 2023 - Aug 2023 (1 month)
Contributed to backend development and ML tasks for a remote AI service, integrating APIs and supporting NLP pipelines and model evaluation/deployment.
LRIA (USTHB)
Sep 2020 - Jul 2021 (10 months)
Developed a real-time hand gesture recognition system using Kinect depth camera for human-computer interaction in serious games for hand rehabilitation therapy.
Degrees, certifications, and relevant coursework
Master's degree (Year 2), Intelligent Computer Systems
2024 - 2025
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.
Master's degree, Data Science
2022 - 2024
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.
Master's degree (Year 1), Intelligent Computer Systems
2020 - 2021
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.
Bachelor of Science, Information Systems and Software Engineering
2018 - 2021
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.
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