Xinyu Huang is a backend engineer with seven years of experience building large-scale, production-grade systems for AI and speech products, currently at Rakuten AI in Shanghai. He previously led distributed system architecture and real-time data pipelines at ByteDance, delivering 99.99% voice session availability for services handling billions of daily requests and scaling model resources by orders of magnitude. Trained in international affairs and English literature before pivoting to machine learning and deep learning, he blends multidisciplinary thinking with rigorous engineering practice. He’s built multimodal analytics and education-focused LLM pipelines that combine Flink, Spark, ASR, and pronunciation detection to power product insights and adaptive evaluation. Outside work he maintains a Chinese-language technical blog and a personal academic homepage, reflecting a continuous appetite for research and public-facing explanation.
6 years of coding experience
5 years of employment as a software developer
University of California, San Diego
Bachelor's degree, ENGLISH LANGUAGE AND LITERATURE/LETTERS, Bachelor's degree, ENGLISH LANGUAGE AND LITERATURE/LETTERS at Shanghai International Studies University
Contributions:12 commits, 4 PRs, 12 pushes in 7 months
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