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.
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