Yvonne L
Palo Alto, California, United States
Summary
🤩
Rockstar🎓
Top SchoolYvonne L is a software engineer and program manager with 7 years of multidisciplinary experience spanning software engineering, data management, and machine learning, now based in Palo Alto. She blends hands-on ML engineering—contributing synthetic data generation and ARM CI/CD work to the well-known FedML federated learning project—with operational program leadership at startups like TensorOpera AI and Teamily AI. Previously at TuSimple she led complex engineering excellence and product security initiatives, including hardware/OS migrations and a US–China separation program, demonstrating comfort with both low-level embedded constraints and high-level compliance. At China Mobile she progressed from software engineer to engineering team lead, managing multi-project portfolios, budgets, and cross-functional vendor teams. She holds an MS in Computer Science from USC and brings a rare mix of technical depth and program delivery chops that helps bridge research-grade ML tooling to production systems. Notably, her contributions to synthetic dataset pipelines reveal a focus on reproducible benchmarking and scalable distributed ML workflows.
7 years of coding experience
11 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at University of Southern CaliforniaMajor in ECE Bachelor of Engineering - BE, Major in ECE Bachelor of Engineering - BE at Sun Yat-sen University
English, Chinese, Chinese
Github Skills (11)
data-preprocessing10
data-generation10
machine-learning10
distributed-training10
federated-learning10
python10
numpy10
cicd6
deeplearning-ai4
deep-learning4
mlops4
Programming languages (1)
Github contributions (5)
FedML-AI/FedML
Jul 2020 - Nov 2020
FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, TensorOpera AI (https://TensorOpera.ai) is your generative AI platform at scale.
Role in this project:
ML Engineer
ML EngineerContributions:24 commits, 6 pushes in 3 months
Contributions summary:Yvonne primarily contributed to data preprocessing and synthetic data generation within the FedML project. Their work involved creating and updating scripts to generate synthetic datasets with varying parameters (alpha, beta, iid) for testing and benchmarking. This involved modifications to existing files for data generation, as well as creating statistics to analyze the datasets. Additionally, the user updated the CI/CD configurations for the ARM architecture within the project.
inference-enginepythonsimulationdecentralizedsilo
yanfangli1986/circle
Jul 2020 - Jul 2020
Contributions:13 pushes, 1 branch in 1 day
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