Xupeng Shi
Software Engineer at Inorsa
Austin, Texas, United States
Summary
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Rockstar🎓
Top School
Top expert inNatural Language Processing and Machine Learning Technologies
Xupeng Shi is a software engineer based in Austin with seven years of experience building scalable backend systems, databases, and AI-driven products. He helped ship high-throughput services at Chegg—designing LMS integrations, an AI assistant using OpenAI/AWS Bedrock, and a 10M+ image caching pipeline that improved processing speeds 10x. At Inorsa he builds full-stack web apps and an end-to-end agentic AI product (Ask Nora & Dataroom), blending React/NestJS/Postgres with Python data pipelines. An active open-source contributor, he’s authored work on Milvus and Mishards and contributed parser, storage-engine, and indexing fixes to notable projects like MatrixOne and Milvus, showing deep familiarity with database internals. Trained at Carnegie Mellon and experienced across finance, research, and edtech, he combines practical production delivery with a knack for low-level data/storage optimizations.
7 years of coding experience
3 years of employment as a software developer
University of OxfordMaster's degree, Electrical and Computer Engineering, Master's degree, Electrical and Computer Engineering at Carnegie Mellon UniversityBachelor's degree, Network Engineering, Bachelor's degree, Network Engineering at University of Electronic Science and Technology of China
Stackoverflow
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Github Skills (18)
c-language10
databases10
indexing10
go10
sql10
database-design10
error-handling10
cprogramming-language10
relational-databases10
sql-database10
database10
mysql9
architecture9
architectures9
system9
Programming languages (6)
Github contributions (5)
matrixorigin/matrixone
Mar 2021 - Dec 2022
Hyperconverged cloud-edge native database
Role in this project:
Back-end Developer & Database Engineer
Back-end Developer & Database EngineerContributions:2291 reviews, 269 commits, 478 PRs in 1 year 9 months
Contributions summary:Xupeng's commits primarily focus on implementing and debugging the parser and the integration with a Pingcap MySQL frontend. This involved working with database error codes, adding support for a new storage engine, and enhancing database operations. Additionally, the user made changes related to the underlying storage layers, which indicated their familiarity with the system's architecture and data storage mechanisms.
hybrid-cloudcloudnativehtapstreamingedge-native
milvus-io/milvus
Mar 2019 - Dec 2020
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
Role in this project:Back-end Developer & Database Engineer
Back-end Developer & Database EngineerContributions:24 reviews, 1034 commits, 81 PRs in 1 year 9 months
Contributions summary:Xupeng's contributions focus on modifying the C++ code related to the `Index` and `DBImpl` class, including fixing bugs in index writing. They appear to be involved in implementing database functionalities related to indexing raw data. The user's work also involves the addition of file name mocking, and local meta implementation.
approximate-nearest-neighbor-searchfaisshnswsimilarity-searchvector
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