Tianyou W is a data scientist and algorithms expert with 10 years of experience applying math, statistics, and machine learning to recommender systems and search at companies including Meta and Pinterest. He holds a PhD in Applied Mathematics and has driven end-to-end ML work—from feature engineering and large-scale A/B testing to deployment and monitoring—delivering measurable product impact such as improved feed engagement and ad ranking gains. At Pinterest he built Ray-based tools to detect concept and data drift during inference, and as a founder engineered an AI pipeline that handles ultra-long documents (100k–500k tokens) using RAG, VLM, and LLM models. Comfortable in Python, SQL and production environments, he blends deep research rigor with practical engineering to optimize both model quality and serving efficiency.
10 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD Applied Mathematics, Doctor of Philosophy - PhD Applied Mathematics at University of Southern California
Contributions:12 PRs, 22 pushes, 9 branches in 8 months
risc-vcpu32-bitriscbit
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