Mingwei Lu is a backend software engineer with 11 years of experience building high-performance, highly concurrent services for large consumer platforms. He has driven backend and recommendation architecture work at TikTok and ensured scalability and availability for QQ short video at Tencent using Go, Kafka, Redis, MongoDB and cloud-native tooling. His background in ML and NLP—machine learning roles at Xiaomi and research on deep learning for recommendation at The Hang Seng University—gives him a strong bridge between model development and production systems. Holding a master’s in Information Technology from HKUST, he combines data-driven algorithmic thinking with pragmatic service engineering to optimize real-time user experiences. An interesting thread across his career is a consistent focus on marrying multi-task learning and transfer-learning ideas to practical backend constraints in large-scale products.
11 years of coding experience
5 years of employment as a software developer
Bachelor of Engineering - BE, Internet of Things, Bachelor of Engineering - BE, Internet of Things at Central South University
Hong Kong University of Science and Technology (HKUST)
Contributions:11 pushes, 4 branches in 6 years 1 month
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