I am a Data Scientist and Machine Learning Engineer with over two years of experience and a Master's degree in Data Science from the University of Birmingham. My expertise lies in developing scalable machine learning models, deep learning algorithms, and Generative AI techniques. Proficient in Python, TensorFlow, PyTorch, and AWS, I have a proven track record of enhancing model accuracy and optimizing performance.As the co-founder and AI Lead at Taletech AI Startup, I led the development of our core AI module using stable diffusion models in ComfyUI, playing a pivotal role in creating the company's main product through advanced AI techniques. My work on automating Wikipedia's "See Also" section resulted in an innovative recommendation system that is under consideration for implementation by Wikipedia.I was honored to receive commendation for the best Master's degree project in five years at the University of Birmingham, where I collaborated with the Center for Human Brain Health (CHBH) to explore advancements in medical science, data science, and psychology. This project involved pioneering neuro-imaging studies linking autism and hyperactivity.My technical skills encompass supervised and unsupervised learning, deep learning, reinforcement learning, probabilistic inference, and Bayesian statistics. I specialize in computer vision, natural language processing (NLP), and recommendation systems. Additionally, I am adept at data visualization tools like Tableau and Power BI, and have experience with cloud technologies including Docker, EC2, and Lambda.I thrive in collaborative environments and am passionate about leveraging data-driven solutions to drive business growth. With strong analytical thinking and problem-solving skills, I continuously seek opportunities to apply my expertise in innovative ways and adapt quickly to fast-paced work settings.