I’m Tianxiu Ma. And my English name is Tammie.
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🌟 Professional Summary: I am a Software Engineer with 6 years of experience specializing in front-end development, including nearly three years in the Credit Card Department at Ping An Bank. I excel in building responsive UI components with React, developing and integrating RESTful APIs using Node.js, and optimizing server-side rendering (SSR) to improve SEO and application performance. My strong fintech background has enabled me to design and implement scalable solutions that enhance user experience and streamline operational workflows.
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📖 Academic Background: I recently graduated with distinction from the "Machine Learning for Visual Data Analytics" program at Queen Mary University of London. During my studies, I gained hands-on experience in NLP, computer vision, and machine learning, completing projects that applied these technologies to solve real-world problems. This experience deepened my technical expertise and strengthened my problem-solving skills, positioning me to contribute to innovative AI-driven solutions.
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🎯 Passion for Innovation: I am passionate about exploring cutting-edge technologies, particularly in computer science, artificial intelligence, and their intersection with art. This curiosity drives me to stay ahead of industry trends and continually expand my skill set.
- Languages: Python, JavaScript, Go, Node, etc.
- Frameworks: React, React Native, Django, PyTorch, TensorFlow, etc.
- Tools: Git, Docker, etc.
- Work Projects: I have been continuously maintaining and iterating on a mobile application project for the Credit Card Department. The application encompasses key features such as credit card repayment, bill management, and fund investment services. My responsibilities include ensuring seamless functionality, optimizing user experience, and implementing new features to meet evolving customer needs.
- Academic Projects: During my academic journey, I completed several hands-on projects that strengthened my technical expertise and problem-solving skills. These projects were focused on topics such as machine learning, natural language processing, and computer vision. Through these experiences, I gained a deep understanding of theoretical concepts while applying them to real-world scenarios.