Sid Ahmed Benmansour
Ai Engineer Computer Vision @Automaton
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WORK HISTORY
Ai Engineer Computer Vision @Automaton
Ville de Paris, FR
At Automaton, my goal was to design, deploy, and optimize AI and software solutions to industrialize data and image processing. I leveraged software development and AI engineering technologies, incorporating solutions built on Python, Docker, and deep learning frameworks. I structured AI projects with a focus on efficient management and reliable production deployment, emphasizing rapid deployment, cost-effective solutions, and high reliability to meet the company\'s operational needs.Key Achievements- Developed software and APIs in Python (FastAPI, OpenCV, NumPy, PostgreSQL, SQLAlchemy) for image analysis and processing, implementing a robust architecture ensuring speed, consistency, and high availability- Deployed deep learning models (segmentation, object detection, OCR) into production using TensorFlow, PyTorch, Docker Openvino and ONNX achieving up to 98% accuracy under real-world conditions- Fine-tuned object detection models for complex environments (e.g, faces behind glass) with custom data collection and labeling pipelines- Designed efficient and cost-effective inference systems optimized for Intel CPU processors, ensuring minimal latency in both cloud environments (using Docker) and local servers (with adapted services)- Structured and managed AI projects from planning to production deployment, establishing rigorous documentation practices (bugs, code, versioning, updates) to ensure project quality and traceability.
EDUCATION
Université de Reims Champagne-Ardenne
Master of Business Administration - MBA
Abou Bekr Belkaid University of Tlemcen
Master's degree, Intelligence artificielle
Université de Technologie de Compiègne (UTC)
Master, Apprentissage et optimisation des systèmes complexes
Abou Bekr Belkaid University of Tlemcen
Licence, Mathématiques et informatique
ABOUT SID AHMED BENMANSOUR
AI and Computer Vision Engineer with a strong background in software development and machine learning. Experienced in deploying scalable deep learning models into production using Python, Docker, and FastAPI. Proven track record in managing AI projects from data collection to deployment, with hands-on experience in CI/CD, cloud tools, and model optimization. Passionate about building robust, secure, and high-performance software systems. Always driven by innovation and impact.
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