
I am a passionate tech enthusiast with a deep fascination for frontier technologies.
I am dedicated to research in deep learning and complex networks, leveraging Python as my primary programming language to develop AI-related projects and innovations. My ambition is to create groundbreaking and visionary AI products—innovation is at the core of who I am.

With 4+ years of comprehensive experience in web application development, I have polished my skills in both frontend and backend development. In addition to my hands-on experience in web development, my education has also played a critical role in providing a strong foundation for my career.
Here is my educational background.

This paper proposes a key node identification method called the Cumulative Structural Iteration Factor Ranking Method. Based on the traditional k-core decomposition, this method incorporates structural information in the residual network and the role of neighborhood correlation in information propagation. By utilizing clustering coefficient and Pearson correlation coefficient for measurement, it effectively addresses the issue of overlapping information propagation in conventional approaches.
As a dev, I am driven by my love for coding and my desire for new challenges. If you have opportunities for collaboration or want to build something amazing, don't hesitate to contact me!
Get in touch!