Saiwen Wang
Software Engineer at Apple
Shanghai, Shanghai, China
Summary
👤
Senior🎓
Top SchoolSaiwen 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 UniversityComputer Science, Computer Science at Technical University MunichMaster of Science (MSc), Computer Science, 5.49/6, Master of Science (MSc), Computer Science, 5.49/6 at ETH ZurichBachelor of Engineering (B.E.), Computer Science, 3.89/4, Bachelor of Engineering (B.E.), Computer Science, 3.89/4 at Zhejiang University
English, German, Chinese, Chinese
Github Skills (2)
gesture-recognition10
neural-network6
Programming languages (2)
Github contributions (5)
simonwsw/deep-soli
Nov 2016 - May 2018
Gesture Recognition Using Neural Networks with Google's Project Soli Sensor
Contributions:38 commits, 3 PRs, 26 pushes in 1 year 7 months
gesture-recognitionneural-network
simonwsw/cnn-zh
Apr 2014 - Dec 2015
CNN for Offline Handwriting Chinese Character Recognition
Contributions:35 commits, 1 push, 1 comment in 1 year 8 months
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