Yiqing Wang

Senior Software Engineer, Machine Learning Platform

California, United States
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Summary

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Rockstar
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Top School
Yiqing Wang is a Senior Software Engineer specializing in machine learning infrastructure with 9 years of experience and 7+ years focused on LLM training and inference platforms. Based in California, she has built end-to-end ML platforms—training, serving, feature stores, and monitoring—at companies including Roblox, Instabase, and LogMeIn, accelerating model productization from months to under a week. Her work spans LLM hosting and fine-tuning (Llama2, Mixtral), LangChain and vector DB integrations, and embedding benchmarking, demonstrating both research-aware engineering and production-grade reliability. Colleagues recognize her for driving cross-functional collaboration and measurable business impact, such as improved personalization and retention through recommendation serving. An applied engineer at heart, she combines deep systems design with hands-on model operations to move experimental models into scalable services.
code9 years of coding experience
job5 years of employment as a software developer
bookUniversity of Missouri
languagesEnglish, Chinese
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Github Skills (88)

apache-spark10
parallel10
python10
model-management10
hyperparameter-optimization10
mlops10
deep-learning10
automl10
ray10
optimization10
mlflow10
llm-inference10
llmops10
ai10
xpu10

Programming languages (7)

TypeScriptJavaC++CGoYAMLPython

Github contributions (5)

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YQ-Wang/mlflow

Apr 2021 - Jul 2021

Open source platform for the machine learning lifecycle
Contributions:20 commits, 27 pushes, 2 branches in 3 months
pythonlifecyclemlmachine-learningai
YQ-Wang/ray

Sep 2022 - May 2023

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.
Contributions:66 pushes, 7 branches in 7 months
raypythondata-sciencedeep-learningconsists
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Yiqing Wang - Senior Software Engineer, Machine Learning Platform