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Suleiman Adebowale Ojo

Suleiman Adebowale Ojo

Machine learning

Télécommunications

Nice, Arrondissement de Nice, Alpes-Maritimes

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À propos de Suleiman Adebowale Ojo:

I am a highly motivated and skilled computer vision and machine learning enthusiast. With a master's degree in applied mathematics and a deep passion for learning, I have built various projects, including a handwritten digits classifier, and a landmark classifier app, and is currently building an AI chatbot and a custom GAN. During a research internship, [Your Name] worked on 3D images of mouse lungs and applied image enhancement and segmentation techniques, successfully achieving the aim of using a numerical tool to extract 3D geometry from experimental mouse lung images.

With a strong knowledge of computer vision and deep learning theory, as well as practical experience with deep frameworks, I am ready to take on new challenges and contribute to cutting-edge research in the field. Fluent in English and possessing excellent coding ability, I will be a valuable asset to any team in the computer vision and machine learning industry.

Expérience

I have a strong background in computer vision and deep learning, having built a number of projects including a handwritten digits classifier, and landmark classifier app, and currently working on an AI chatbot and custom GAN. I also have experience working on 3D images of mouse lungs during a research internship, where you successfully applied image enhancement and segmentation techniques to extract 3D geometry from experimental images.

Éducation

I have a passion for learning and have demonstrated a strong ability to acquire new skills quickly. I hold a Master's degree in applied mathematics and have pursued various certification courses to enhance my knowledge and proficiency in the field of computer vision and deep learning. I am currently enrolled in a Deep Learning Nano degree program from Udacity, which showcases my commitment to staying updated with the latest advancements in the field. My dedication to continuous learning and improvement is evident and makes me an ideal candidate for roles that require a strong technical foundation.

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