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I'm Ayoub Bouzekouk, a passionate Master's student in Applied Artificial Intelligence at Liverpool John Moores University, where I graduated with first-class distinction. With a background in Electronics Engineering and hands-on experience in multimodal AI solutions, computer vision, Large Language Models, and physical AI applications, I enjoy creating innovative AI-powered systems that solve real-world challenges across healthcare, retail, conservation, and physics. Currently, I lead the development of AI-powered POS self-checkout systems for supermarkets, integrating advanced computer vision and physical AI technologies to enhance the retail experience. My work also spans improving healthcare diagnostics using private LLMs and accelerating machine learning pipelines with GPU technologies. I'm always excited about pushing the boundaries of AI and applying cutting-edge technologies to make a positive impact.…I'm Ayoub Bouzekouk, a passionate Master's student in Applied Artificial Intelligence at Liverpool John Moores University, where I graduated with first-class distinction. With a background in Electronics Engineering and hands-on experience in multimodal AI solutions, computer vision, Large Language Models, and physical AI applications, I enjoy creating innovative AI-powered systems that solve real-world challenges across healthcare, retail, conservation, and physics. Currently, I lead the development of AI-powered POS self-checkout systems for supermarkets, integrating advanced computer vision and physical AI technologies to enhance the retail experience. My work also spans improving healthcare diagnostics using private LLMs and accelerating machine learning pipelines with GPU technologies. I'm always excited about pushing the boundaries of AI and applying cutting-edge technologies to make a positive impact.

Ayoub Bouzekouk

AI Engineer, Data Scientist, Developer, +3

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I'm Ayoub Bouzekouk, a passionate Master's student in Applied Artificial Intelligence at Liverpool John Moores University, where I graduated with first-class distinction. With a background in Electronics Engineering and hands-on experience in multimodal AI solutions, computer vision, Large Language Models, and physical AI applications, I enjoy creating innovative AI-powered systems that solve real-world challenges across healthcare, retail, conservation, and physics. Currently, I lead the development of AI-powered POS self-checkout systems for supermarkets, integrating advanced computer vision and physical AI technologies to enhance the retail experience. My work also spans improving healthcare diagnostics using private LLMs and accelerating machine learning pipelines with GPU technologies. I'm always excited about pushing the boundaries of AI and applying cutting-edge technologies to make a positive impact.…I'm Ayoub Bouzekouk, a passionate Master's student in Applied Artificial Intelligence at Liverpool John Moores University, where I graduated with first-class distinction. With a background in Electronics Engineering and hands-on experience in multimodal AI solutions, computer vision, Large Language Models, and physical AI applications, I enjoy creating innovative AI-powered systems that solve real-world challenges across healthcare, retail, conservation, and physics. Currently, I lead the development of AI-powered POS self-checkout systems for supermarkets, integrating advanced computer vision and physical AI technologies to enhance the retail experience. My work also spans improving healthcare diagnostics using private LLMs and accelerating machine learning pipelines with GPU technologies. I'm always excited about pushing the boundaries of AI and applying cutting-edge technologies to make a positive impact.

Available to hire

I’m Ayoub Bouzekouk, a passionate Master’s student in Applied Artificial Intelligence at Liverpool John Moores University, where I graduated with first-class distinction. With a background in Electronics Engineering and hands-on experience in multimodal AI solutions, computer vision, Large Language Models, and physical AI applications, I enjoy creating innovative AI-powered systems that solve real-world challenges across healthcare, retail, conservation, and physics.

Currently, I lead the development of AI-powered POS self-checkout systems for supermarkets, integrating advanced computer vision and physical AI technologies to enhance the retail experience. My work also spans improving healthcare diagnostics using private LLMs and accelerating machine learning pipelines with GPU technologies. I’m always excited about pushing the boundaries of AI and applying cutting-edge technologies to make a positive impact.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

English

Advanced

Work Experience

Project Lead - AI-Powered Retail Solutions at Liverpool, UK

January 1, 2024 - Present

Leading the development of an AI-powered POS self-checkout system for supermarket businesses, managing end-to-end solution architecture and implementation. Designing Qt-based desktop applications for intuitive user interfaces to ensure seamless customer experience and operator management. Integrating physical AI components with computer vision for product recognition, weight verification, and fraud detection. Building robust C++ backend systems with CMake for cross-platform deployment and scalability.

AI Researcher at Liverpool John Moores University

January 1, 2023 - Present

Conducted research on Multimodal AI for Brain Tumor Detection by combining Faster R-CNN and Private LLMs to achieve 98% accuracy and reduce diagnostic wait times by 25%. Developed a Llama3.1 RAG-based Private LLM question-answering system for pressure ulcers, reducing research time for healthcare practitioners by 30%. Utilized Nvidia RAPIDS and cuML for GPU-accelerated ML in Higgs Boson classification, achieving 95% accuracy and reducing processing time by 80%. Built an end-to-end MLOps platform for wildlife monitoring using TensorFlow, Docker, and Triton Inference Server.

Project Lead - AI-Powered Retail Solutions at Self-employed / Liverpool, UK

January 1, 2024 - Present

Leading the development of an AI-powered POS self-checkout system for supermarket businesses, managing end-to-end solution architecture and implementation. Designing Qt-based desktop applications for intuitive user interfaces, ensuring seamless customer experience and operator management. Integrating physical AI components with computer vision for product recognition, weight verification, and fraud detection. Building robust C++ backend systems with CMake for cross-platform deployment and scalability.

AI Researcher at Liverpool John Moores University

January 1, 2023 - Present

Multimodal AI for Brain Tumor Detection: Combined Faster R-CNN and Private LLMs to detect and describe brain tumors from MRI datasets, achieving 98% accuracy and reducing diagnostic wait times by 25%. Developed a Llama3.1 RAG-based Private LLM question-answering system for pressure ulcers, reducing research time by 30%. Implemented GPU-accelerated ML pipelines using Nvidia RAPIDS for Higgs Boson classification, achieving 95% accuracy and reducing processing times by 80%. Built an end-to-end MLOps platform for wildlife monitoring integrating TensorFlow, Docker, and Triton Inference Server.