Yue Kang
Software Engineer at Snap Inc.
Palo Alto, California, United States
Summary
🤩
Rockstar🎓
Top SchoolYue Kang is a software engineer with 14 years of experience building backend systems for consumer and data-intensive products, currently at Snap in Palo Alto. A Stanford M.S. in Electrical Engineering and prior roles at Uber and Splunk underpin a strong foundation in scalable systems and real-world product delivery. Yue contributes to high-impact open-source work—most notably improving IPC reader performance and custom metadata support in Apache Arrow—showing a focus on efficient data interchange and robust in-memory analytics. Beyond code, Yue brings creativity and leadership from running D&D campaigns and discipline from long-term competitive swimming, traits that surface in pragmatic problem solving and team collaboration.
13 years of coding experience
4 years of employment as a software developer
Bachelor's degree, E-commerce Engineering with Law, Bachelor's degree, E-commerce Engineering with Law at Beijing University of Posts and TelecommunicationsMaster of Science (M.S.), Electrical Engineering, Master of Science (M.S.), Electrical Engineering at Stanford University
English, Chinese
Stackoverflow
9,229reputation
4.5mreached
59answers
39questions
android
top-5%
race-condition
top-5%
sorting
top-5%
algorithm
top-5%
java
top-5%
javascript
top-5%
Github Skills (26)
c-language10
data-serialization10
ipc10
serialization10
apache-arrow10
interprocess-communication10
cprogramming-language10
testing9
react-native9
javascript9
algorithm9
java9
race-condition9
android9
react9
Programming languages (17)
Github contributions (5)
apache/arrow
Nov 2021 - Dec 2022
Apache Arrow is the universal columnar format and multi-language toolbox for fast data interchange and in-memory analytics
Role in this project:
Back-end Developer
Back-end DeveloperContributions:214 reviews, 4 commits, 15 PRs in 1 year 1 month
Contributions summary:Yue primarily contributed to the Apache Arrow project, focusing on improving the IPC reader and custom metadata handling. They addressed a specific issue related to fine-grained I/O in the IPC reader by implementing a new approach. Furthermore, the user added support for saving and retrieving custom metadata in record batches within IPC files. These changes involved modifying core components and adding tests to verify the implementations, improving the data interchange and in-memory analytics capabilities of Apache Arrow.
memorymulti-languagetoolboxacceleratedarrow
yanhuangdata/gandiva_rust_udf
Jan 2024 - Feb 2025
Contributions:12 reviews, 5 PRs, 4 pushes in 1 year
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