Alhossien W.

Machine Learning Engineer with a strong background in artificial intelligence, computer vision, and natural language processing. Skilled in developing and optimizing deep learning models using frameworks such as TensorFlow and PyTorch, with a focus on OCR, text detection, and image analysis tasks. Proficient in designing end-to-end machine learning pipelines, from data preprocessing and model training to deployment and performance evaluation. Dedicated to staying current with the latest advancements in AI research and tools. Passionate about implementing scalable and efficient solutions for complex real-world problems, including Arabic language processing and domain-specific text recognition challenges. Key Skills: • Machine Learning & Deep Learning (TensorFlow, PyTorch, Keras) • Computer Vision & OCR (DBNet++, BLIP, Arabic Text Processing) • Natural Language Processing (Transformers, Sentence Embeddings) • Model Evaluation & Optimization (TorchMetrics, Levenshtein Distance) • Software Engineering & API Development (JavaFX, Flask) • Academic Writing & Research in AI • Open to collaborations, research projects, and machine learning roles