EXCEEDS logo
Exceeds
Kun Wan

PROFILE

Kun Wan

Worked on stability and performance improvements across the apache/spark and apache/incubator-gluten repositories, focusing on backend development and data processing. Addressed critical bugs in Spark’s shuffle cleanup and Hive UDF evaluation by implementing defensive null checks and refining expression handling, which reduced runtime exceptions and improved job reliability. In Gluten, optimized memory usage in the VeloxHashShuffleWriter by ensuring null values were ignored during string buffer conversion to Arrow buffers, lowering memory footprint and enhancing throughput. Demonstrated strong skills in C++, Scala, and performance tuning, with a technical approach centered on robust debugging, cross-repo collaboration, and careful runtime observability enhancements.

Overall Statistics

Feature vs Bugs

0%Features

Repository Contributions

4Total
Bugs
4
Commits
4
Features
0
Lines of code
60
Activity Months3

Work History

April 2026

1 Commits

Apr 1, 2026

April 2026 focused on stability and performance improvements in the Apache Gluten project, delivering a targeted memory-optimization bug fix for VeloxHashShuffleWriter. The change reduces unnecessary memory allocations during string buffer conversion to Arrow buffers by ignoring null values, improving memory efficiency and overall throughput in vector-to-buffer conversion.

May 2025

2 Commits

May 1, 2025

Monthly summary for 2025-05: Delivered critical stability and observability improvements across Spark and Gluten. Key bugs fixed to prevent runtime failures and to ensure accurate performance metrics, enabling faster issue diagnosis and more reliable query execution. Demonstrated strong technical breadth in SQL engine internals, shuffle metrics instrumentation, and cross-repo collaboration.

April 2025

1 Commits

Apr 1, 2025

April 2025: Stabilized Spark's shuffle cleanup path by defensively filtering null MapStatus entries to prevent NullPointerExceptions when cleaning up shuffle data with ExternalShuffleService. The change reduces crash risk in shuffle cleanup, improves runtime stability for jobs relying on the external shuffle service, and aligns with SPARK-51512 expectations.

Activity

Loading activity data...

Quality Metrics

Correctness95.0%
Maintainability85.0%
Architecture85.0%
Performance90.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

C++Scala

Technical Skills

Apache SparkC++ developmentPerformance TuningSQLScalaShuffleSparkTestingbackend developmentdata processingmemory optimization

Repositories Contributed To

2 repos

Overview of all repositories you've contributed to across your timeline

apache/spark

Apr 2025 May 2025
2 Months active

Languages Used

Scala

Technical Skills

Apache SparkScalabackend developmentSQLSparkTesting

apache/incubator-gluten

May 2025 Apr 2026
2 Months active

Languages Used

ScalaC++

Technical Skills

Performance TuningShuffleSparkC++ developmentdata processingmemory optimization