Yizhengย Jiao
Researcher Engineer at ByteDance
San Jose, California, United States
Summary
๐คฉ
Rockstar๐
Top SchoolYizheng Jiao is a systems-focused software engineer with 12 years of experience building high-performance storage, database, and AI infrastructure. He earned advanced degrees and a PhD-level research background, producing in-kernel file systems and influential papers on on-disk data structures before moving into production database and query-engine work. As a core contributor to Databend, he implemented distributed query optimizations that improved resource allocation and execution efficiency for a modern Snowflake alternative. More recently he has pivoted into AI infra, rebuilding inference components in Rust and optimizing LLM inference with Dynamo and TensorRT-LLM at Baseten. Based in San Jose, he blends deep research rigor with practical systems engineering, often surfacing non-obvious design trade-offs that materially improve performance at scale.
12 years of coding experience
8 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Stony Brook UniversityBachelor's degree, Electrical and Electronics Engineering, Bachelor's degree, Electrical and Electronics Engineering at Chongqing UniversityMaster's degree, Electrical, Electronics and Communications Engineering, Master's degree, Electrical, Electronics and Communications Engineering at HuazhongDoctor's Degree, Computer Science, Doctor's Degree, Computer Science at University of North Carolina at Chapel Hill
English
Github Skills (11)
query-optimization10
rust10
distributed-systems9
datastructures-algorithms8
algorithms8
data-structures8
olap8
algorithm8
data-structure8
database7
databases7
Programming languages (17)
Github contributions (5)
databendlabs/databend
Mar 2021 - Aug 2021
๐๐ฎ๐๐ฎ, ๐๐ป๐ฎ๐น๐๐๐ถ๐ฐ๐ & ๐๐. Modern alternative to Snowflake. Cost-effective and simple for massive-scale analytics. https://databend.com
Role in this project:
Back-end Developer
Back-end DeveloperContributions:86 reviews, 226 commits, 25 PRs in 4 months
Contributions summary:Yizheng implemented several core features related to distributed query processing within the Databend project. Their contributions included implementing node priority-based partition distribution, initial work on limit pushdown optimization, and handling of aggregate functions. The user's work focused on enhancing the query engine's performance and efficiency by optimizing resource allocation and query execution.
serverlesslow-costdata-warehousestoragequery-processing
jyizheng/datafuse
Mar 2021 - Feb 2024
Datafuse is a free Cloud-Native Analytics DBMS(Inspired by ClickHouse) implemented in Rust
Contributions:2 PRs, 286 pushes, 37 branches in 2 years 11 months
analyticsdbmsnative-analyticsrustsql
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