Machine Learning Engineer with a strong academic background in computer science and mathematics, bringing hands-on experience in machine learning projects. Proficient in supervised and unsupervised learning techniques, neural networks, and deep learning frameworks like Keras and PyTorch. Demonstrated ability to handle large datasets and implement scalable machine learning solutions. Seeking to apply expertise in model development, data analysis, and algorithm optimization within a dynamic tech environment.