As a senior full-stack software engineer with five years at NYSE-listed Tencent Music, I contributed to the development of 'WeSing' and 'QQMusic,' apps with over 100 million daily active users, I hold international patents, including WO2023011050 and 113596516
Master of Science in Computer Engineering, Enrollment in 2024/09, expected to graduate in 2026 spring. Attended Paul G. Allen School of Computer Science & Engineering
2024.09 - PresentAt Tencent Music, This is a New York Stock Exchange listed company renowned for its applications such as 'WeSing' and 'QQMusic' with over 100 million daily active users, my role as a staff senior full-stack software engineer over the past five years has not only given me hands-on experience in Computer Science, but also involved tackling challenges like optimizing audio and video transmission structures and algorithms to overcome app latency issues. As the lead of our development team, I spearheaded the design and development of an efficient audio-video processing framework for online choral singing, based on optimizing audio-video compression structures and algorithms, as evidenced by my co-authored patent (WO2023011050). This framework, successfully deployed in apps for years and supporting millions globally in daily online choral singing, not only reduced bandwidth for live streaming but also enabled real-time musical collaborations at long distances with minimal audio delays, even in less-than-ideal network conditions. Furthermore, my work involved research on machine learning algorithms for image feature extraction within apps. A notable achievement (patent 113596516) was the development of a novel approach for constructing Random-Forest-Models, which improves data efficiency by building decision trees from diverse sample subsets and then systematically integrating these to enhance the model. Through these efforts, I have gained substantial experience in optimizing machine learning algorithms for commercial projects
2022.05 - 2023.11This year,in my senior year internship at Alibaba Group, This is a New York Stock Exchange listed company. I collaborated with Prof Wu Lei and processed over 20TB of multilingual RDF data using Python and C++ to build a knowledge graph, and then focused on enhancing a question generation algorithm to create a multilingual question-answering system from this graph. This experience aligns seamlessly Artificial Intelligence
2021.02 - 2022.02My junior year involvement in Prof Liao Zhaohui's research group, where I focused on using machine learning models to train sentiment classification in Chinese text, optimizing classification methods and enhancing feature extraction through Bi-LSTM networks for an app. This project also led to the app winning at the Apple's official Summer Camp in 2017, representing my university. This project not only enhanced my skills in algorithm optimization but also deepened my understanding of complex functional programming.
2017.12 - 2018.03Reflecting on my undergraduate studies, my burgeoning interest in Computer Science was fueled by engaging in numerous specialized courses such as ‘Data Structures’, ‘Computer Networks’ and others. These foundational courses equipped me with a solid theoretical base.
2015.09 - 2019.06Java
C/C++
Machine Learning
Go
NLP
Python
Swift
WeSing App, a prominent product from Tencent Music, one of Chinas largest internet companies, boasts an impressive daily active user base exceeding 100 million. The app, widely recognized and popular throughout China, stands as a testament to the innovative edge of Tencent Music, which is publicly traded on the New York Stock Exchange. My involvement in WeSing development was extensive, focusing on key features such as its expansive music library, live streaming capabilities, and the online duet function. These features not only cater to a vast audience but also highlight the apps commitment to providing an engaging and interactive musical experience for its users.
QQMusic App, a flagship offering from Tencent Music, stands tall among the giants of the music streaming industry. With a staggering daily active user count of over 300 million, QQMusic is not just a household name in China but also a fierce competitor on the global stage, boasting a market value nearing that of Spotify. As one of Tencent Music's key products, which is listed on the New York Stock Exchange, QQMusic reflects the technological and innovative prowess of one of China largest internet companies. My contribution to QQMusic was substantial and multifaceted, encompassing the development of core features like music listening, an extensive music library, and an advanced music player. Beyond feature development, I was deeply involved in the backend architecture reconstruction, client-side development, and the design of the disaster recovery framework, ensuring a seamless and robust user experience.
solve the it problem
My GitLab.
© 2024 Liam Lee