Glory Akangbe

Organized and dependable Machine Learning Engineer, recognized for successfully managing multiple priorities with a positive attitude and exceptional efficiency. Possesses a strong background in independent research, focusing on intuitive web-based architecture and machine learning solutions. Skilled in researching and implementing innovative techniques for novel approaches to complex problems. Combines technical proficiency in Python, Tensorflow, SQL, and various IT management tools with a solid foundation in computer science.

• Google IT support professional, Present
• Deep Learning Specialization Certification from Deep Learning AI, Build and train deep neural networks, identify key architecture parameters, implement vectorized neural networks and deep learning to application., Train test sets, analyze variance for DL applications, use standard techniques and optimization algorithms, and build neural networks in TensorFlow, Build a CNN and apply it to detection and recognition tasks, use neural style transfer to generate art, and apply algorithms to image and video data, Build and train RNNs, work with NLP and Word Embeddings, and use HuggingFace tokenizers and transformer models to perform NER and question-answering