Tamine Abderrahmane

I am a motivated Machine Learning Developer with a strong passion for large language models (LLMs), multimodal AI, and computer vision. My academic journey includes a Bachelor's Degree in Electronics from the Institut of Electronics and Electrical Engineering Boumerdes University, where I am currently enrolled from 2022 to 2025. I have also completed a Machine Learning Specialization from Stanford Online and a Deep Learning course from IBM, which have equipped me with a solid foundation in advanced machine learning techniques.

Throughout my professional experience, I have successfully created and implemented the multimodal Paligemma model from scratch using PyTorch. I have applied advanced computer vision and image processing techniques, leveraging Convolutional Neural Networks (CNN) and Vision Transformers for various image classification projects. Additionally, I designed and developed an end-to-end MiniLLaMA 2 pipeline, demonstrating my ability to handle complex machine learning tasks from dataset preprocessing to model training.