Saiwen Wang is a software engineer with 12 years of experience specializing in large language models and speech recognition, currently improving Siri for China at Apple. With a strong academic foundation from Zhejiang University, ETH Zurich and Technical University Munich, he blends rigorous research experience with product-focused engineering. He previously contributed to Google's ATAP on Project Soli and built deep-learning solutions for large-scale spam detection at Alibaba, demonstrating a track record of taking prototypes into real-world systems. Comfortable at the intersection of ML research and production voice systems, he excels at adapting cutting-edge models to localized, high-scale environments. Colleagues can expect a problem-solver who pairs academic rigor with practical deployment experience and a keen interest in advancing conversational AI.
12 years of coding experience
1 year of employment as a software developer
High School Diploma, High School Diploma at The Affiliated High School of South China Normal University
Computer Science, Computer Science at Technical University Munich
Master of Science (MSc), Computer Science, 5.49/6, Master of Science (MSc), Computer Science, 5.49/6 at ETH Zurich
Bachelor of Engineering (B.E.), Computer Science, 3.89/4, Bachelor of Engineering (B.E.), Computer Science, 3.89/4 at Zhejiang University
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