Yimin Ou
Machine Learning Engineer Ii @TikTok
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WORK HISTORY
Machine Learning Engineer Ii @TikTok
Seattle, WA, US
TikTok Live Stream RecommendationDeveloped and optimized recommendation algorithms for TikTok live streams to enhance user engagement and content discovery.• Multi-Modal LLM Multi-Agents for Author-Side Quality RecognitionImplemented multi-agent large language models (LLMs) with multi-modal capabilities to evaluate and recognize content quality from the author’s perspective.• Multi-Modal LLM Fine-Tuning: CoT (Chain-of-Thought reasoning)+ SFT (Supervised Fine-Tuning) with GRPOFine-tuned multi-modal LLMs using advanced techniques such as Chain-of-Thought reasoning, Supervised Fine-Tuning, and Generative Reinforcement Preference Optimization to improve model reasoning and alignment with user preferences.• Awarded Spot Bonus twice for outstanding performance as a Machine Learning Engineer at TikTok
EDUCATION
Tsinghua University
Master's degree, Information and Control Engineering - Data Science track
National Taiwan University
Bachelor of Science - BS, Engineering
Cornell University
Master's degree, Computer Science
ABOUT YIMIN OU
Github: https://github.com/b03••••36Recommendation Systems, MLE, CV, NLP:Kaggle Competition Master (Global ranking <0.5%)Feedback Prize - Predicting Effective Arguments - Gold prize Top 1%U.S. Patent Phrase to Phrase Matching - Silver prize Top 1.5%Feedback Prize - English Language Learning - Silver prize Top 1%NBME - Score Clinical Patient Notes - silver prize Top 2.5%Feedback Prize - Evaluating Student Writing - Silver prize Top 5%Jigsaw Rate Severity of Toxic Comments - Silver prize Top 5%Kaggle NFL Detection - Silver prize Top 6%Kaggle NFL Safty - Silver prize Top 8%Computer Vision - Object Detection, Instance Segmentation, Recommendation Systems, Super-resolution/Deblurring.Object Detection Competition: \b1/1492/8391/151The winner of the CVPR2021 Workshop, the paper acceptedTSMC Intern Excellent AwardTencent R&D Intern Excellent AwardA Journal accepted in Neurocomputing 2022 (SCI & JCR:Q1 in Computer Science)Languages: Python, Java, C#, C++, Spark Skills: PyTorch, Tensorflow, Github, OpenCV, DataFrame, NumPy, Matplotlib, Pandas, Scikit-learn Developer Tools and OS: Linux (CentOS, Ubuntu), Docker, Pycharm, Git, Anaconda and Cloud Environments(GCP), AWSRelated Courses: Computer Progamming, Data Structure, Computer Graphics, Operating System, Computer System Organization, Big Data System, Object-Oriented Programming, Machine Learning, Big Data Analysis
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