Feifan Wu

Seed Inference at ByteDance

Beijing, China
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Summary

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Feifan Wu is a backend-focused systems engineer with seven years of experience building high-performance stream processing and database systems, currently working on Seed Inference at ByteDance in Beijing. Previously a Research Intern in MLSys at Microsoft and a Database System R&D intern at RisingWave Labs, Feifan has hands-on experience optimizing query planners—introducing bushy tree join ordering and equivalent condition derivation—and hardening stream platforms with features like Kafka log compaction for Debezium Avro. A Tsinghua MEng graduate (after a bachelor's from Jilin University), he combines rigorous academic training with practical engineering: implementing parallel end-to-end tests, refactoring simulations, and resolving complex UDF and isolated-node issues. Feifan’s contributions to the open-source RisingWave project highlight his knack for making distributed streaming systems more reliable and performant, and he often tackles non-obvious optimizer and testing gaps that surface only at scale.
code7 years of coding experience
bookMaster of Engineering - MEng, Computer Software Engineering, Master of Engineering - MEng, Computer Software Engineering at Tsinghua University
bookBachelor's degree, Computer Software Engineering, Bachelor's degree, Computer Software Engineering at Jilin University
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Github Skills (13)

databases10
stream-processing10
rust10
postgresql10
database10
data-engineering10
materialized-view9
kafka9
optimizer8
testing8
optimizers8
sql8
avro7

Programming languages (6)

TypeScriptRustJavaScriptHTMLPythonStylus

Github contributions (5)

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risingwavelabs/risingwave

Aug 2022 - Aug 2022

Stream processing platform for developers.
Role in this project:
userBackend Developer
Contributions:6 reviews, 1 commit, 14 PRs in 1 day
Contributions summary:Feifan primarily focused on enhancing the stream processing and management platform. Their contributions included implementing parallel end-to-end tests and refactoring simulation functionalities. They introduced bushy tree join ordering optimization and equivalent condition derivation within the optimizer. Additionally, they supported Kafka log compaction for Debezium Avro connectors and addressed issues related to UDFs and isolated nodes.
data-streamserverlessstreamdistributed-sql-databasedatabase
the frontend of NewsBlockChain
Contributions:1 release, 1 push, 1 tag in 9 months
reactfrontend
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