Artificial Intelligence and Machine Learning Engineer with a strong academic background and practical project experience. Holds a Bachelor of Engineering in Computer Science and is currently pursuing an MSc in Artificial Intelligence at Queen Mary University of London. Skilled in Python, Java, and cutting-edge ML frameworks such as TensorFlow, Scikit-learn, Pandas, Numpy, and PyTorch. Developed applications in mental health prediction, NLP, and automation, specializing in deep learning and reinforcement learning including LLM (large language models). Proficient in problem-solving through data-driven solutions with a keen focus on innovation and impactful AI solutions across various domains.