I am a dedicated Machine Learning Engineer with a strong foundation in computer science and a focus on algorithms, data analysis, and AI architecture. With a Bachelor of Computer Science (Honours) in Artificial Intelligence from the University of Malaya, I have developed a deep understanding of scalable solutions and optimization techniques. My expertise includes implementing end-to-end machine learning models, data mining, and quantitative analysis, which has been honed through various academic and industry projects. Proficient in Python, PyTorch, TensorFlow, Keras, and SQL, I have a track record of delivering high-performance solutions in real-time object detection and e-commerce domains.Throughout my learning process, I have collaborated with cross-functional teams to address complex issues and develop innovative products. As a Research Assistant, I led a team that produced significant research outputs, including first-author conference and journal papers. My role at OCBC Bank involved optimizing a real-time dashboard to enhance device anomaly detection, demonstrating my ability to pinpoint and resolve performance bottlenecks effectively. Additionally, I have created web-based chatbots for customer service automation and developed energy-efficient deep learning models for autonomous driving, showcasing my ability to implement cutting-edge technologies and collaborate with stakeholders.My professional journey is marked by continuous growth and a commitment to excellence. I have received numerous accolades, such as being a bronze medalist at the international HK Techathon+ 2024 and a champion in national robotics competitions. With certifications in data analytics and machine learning from esteemed institutions like Google and Intel, I am well-equipped to tackle challenges in big data, natural language processing, and scalable AI solutions. My goal is to leverage my skills and experiences to drive technological advancements and contribute to the success of forward-thinking organizations.