Summary
Shuaiyi Wu is a seasoned software engineer with 12 years of experience building high-throughput recommendation, ads infrastructure, and big-data/ML platforms at ByteDance and prior internships at Microsoft. Skilled in Go, C++, and Python, Shuaiyi has designed realtime recommendation services and PB-scale batch/streaming data pipelines that power TikTok and related products. Their background spans both backend systems and model training infrastructure, reflecting a practical blend of systems engineering and ML-focused data engineering. A Stanford winter-quarter CS attendee with a B.E. in Computer Science, Shuaiyi has a track record of shipping production services across global teams and improving operational efficiency in complex, latency-sensitive environments. Notably, they bring hands-on experience from early projects like Toutiao Media Lab and Docs work at Microsoft, showing a habit of contributing to high-impact developer and content platforms.
11 years of coding experience
7 years of employment as a software developer
B.E., Computer Science, B.E., Computer Science at Zhejiang Gongshang University
Winter Quarter Study, Computer Science, Winter Quarter Study, Computer Science at Stanford University
English, Chinese