Hao Feng is a software engineer at Google (DV360) with a decade of experience building large-scale backend and distributed systems, specializing in integrating LLMs, retrieval (RAG/GraphRAG), and multimodal AI into production services. He has a strong engineering background across Java, Python, and C++ and hands-on experience with Spring Boot, FastAPI, Redis, Kafka, PostgreSQL/pgvector, and Kubernetes. Past internships at Alibaba and Unity show a blend of production migrations, AI assistant optimization (improving retrieval relevance by 22%), and runtime/SDK work spanning V8, JNI, and OpenGL/Skia. His research on multimodal interpretation and open-source contributions like LightRAG reflect a rigorous approach to explainability and knowledge-graph-driven retrieval. Based in Los Angeles with an MS in Computer Science from USC (GPA 3.8), he combines academic rigor with practical impact—e.g., automating incident replay to cut root-cause analysis from 30 minutes to under 5.
10 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of Southern California
Bachelor of Engineering - BE, Computer Software Engineering, Bachelor of Engineering - BE, Computer Software Engineering at Wuhan University
Image Completion using Planar Structure Guidance (SIGGRAPH 2014) http://bit.ly/planarcompletion
Contributions:6 commits, 1 PR, 2 pushes in 2 years 3 months
computer-visionguidancesiggraphbitcompletion
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