Welcome to my profile! I'm Siwei Tan, a driven Computer Science student from the University of California, Davis. This page is your window into my world, where passion meets precision in the realm of technology. Dive into my academic adventures, explore the projects that have shaped my skills, and discover the aspirations that propel me towards the future.
Here, you'll see how my journey through complex algorithms and innovative software solutions is guided by a relentless pursuit of knowledge and a desire to make a real-world impact. From prestigious accolades to hands-on projects that blur the lines between theory and application, every part of my story is aimed at building a brighter technological tomorrow.
Beyond the confines of computer science, traveling gives me the freedom to disconnect from daily outines and immerse myself in new experiences. One of my most memorable trips was to Lake Tahoe, where the serene beauty of the lake and the ruggedness of the surrounding mountains offered a perfect escape from the digital world.
Whether it's hiking through the Sierra Nevada or kayaking on the crystal-clear waters of Lake Tahoe, each adventure is a chance to create lasting memories with friends and learn more about the world. These experiences are not just escapes but also crucial moments of inspiration. AI might be able to generate realistic image of beautiful view, but not the memory of the trip with my friends.
School: University of California, Davis
Major: Computer Science - I chose this major because of my fascination with technology and its power to solve real-world problems. Studying computer science allows me to deepen my understanding of complex algorithms and system design, which are crucial for innovations in software development and data science.
Aspirations: I aspire to become a leading expert in machine learning and data science. My goal is to develop software solutions that can predict and shape future trends. I dream of working on projects that bridge the gap between theoretical research and practical applications, ultimately making a significant impact in the tech industry.
Skills: I am skilled in multiple programming languages including C/C++, Python, and Java, and have extensive knowledge in machine learning frameworks like TensorFlow and PyTorch. My academic and research experiences have honed my abilities in data analysis, problem-solving, and project management.
Projects/Accomplishments: I am particularly proud of my project on "Music Genre Classification using CNNs," which was accepted for publication and presentation. This project not only enhanced my skills in machine learning but also earned me the Best Paper Award at the International Conference on Signal Processing and Machine Learning in 2023.
Repair Experience: While I have not engaged in traditional mechanical or electronic repairs, I have fixed numerous software bugs and optimized code in various projects, which I view as digital repairs. I am keen to learn more about hardware repairs to broaden my technical skills.
Accolades: I have received several honors including the Best Paper Award at CONF-SPML 2023 and have been consistently listed on the UC Davis Dean’s Honor list. These accolades reflect my commitment to excellence in my academic pursuits.
Groups/Memberships: I am an active member of the UC Davis Computer Science club, where I collaborate with peers on innovative projects and participate in hackathons.
Hobbies: In my free time, I enjoy coding personal projects, playing chess, and exploring new technologies. These hobbies keep me creatively engaged and continuously learning.
Relation to Project: Engaging with the repair community will enhance my understanding of practical problem-solving and maintenance, skills that are directly applicable to my interests in software development and machine learning.