Kevin Wilfong
Software Engineer at Meta
California, United States
Summary
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Rockstar🎓
Top SchoolKevin Wilfong is a software engineer with 13 years of experience building high-performance back-end systems, currently based in California and longtime contributor at Meta. He specializes in distributed query engines and execution runtimes, with notable open-source contributions to Presto (improving ORC handling, flat map sequence IDs, and native execution optimizations) and Velox where he improved null handling, thread safety, and added SQL function support. Kevin also has hands-on ML framework experience from work on Caffe2, enhancing data input pipelines and parallel worker robustness. His profile blends production-scale engineering at major tech companies with deep systems-level expertise in C++ and performance tuning. A University of Waterloo graduate in Computer Science and Pure Mathematics, he brings a strong theoretical foundation to practical performance and stability problems. An under-the-radar strength is his pattern of improving fault tolerance and caching in low-level data paths, which measurably boosts engine reliability.
13 years of coding experience
1 year of employment as a software developer
Bachelor of Mathematics, Computer Science, Pure Mathematics, Bachelor of Mathematics, Computer Science, Pure Mathematics at University of Waterloo
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (39)
algorithms10
caffe10
c-language10
python10
query-optimization10
machine-learning10
big-data10
data-management10
java10
data-structure10
javas10
query-parser10
deep-learning10
velox10
sql10
Programming languages (4)
Github contributions (5)
facebookincubator/velox
Oct 2021 - Nov 2022
A composable and fully extensible C++ execution engine library for data management systems.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:296 reviews, 68 commits, 369 PRs in 1 year
Contributions summary:Kevin primarily focused on enhancing the functionality and stability of the Velox execution engine library. Their contributions involved fixing bugs related to null handling in the `applyFunctionWithPeeling` and `array_min` functions, including handling nested datatypes to ensure correct behavior with null values. They added new Presto SQL functions for string manipulation and added support for a Variadic type to simplify argument handling in simple functions. Moreover, they refactored the codebase and improved its thread safety.
queryvectorizedcppdata-processingacceleration
prestodb/presto
Jul 2018 - Jun 2019
The official home of the Presto distributed SQL query engine for big data
Role in this project:Back-end Developer
Back-end DeveloperContributions:4 reviews, 4 commits, 23 PRs in 11 months
Contributions summary:Kevin primarily contributed to improving the Presto distributed SQL query engine, focusing on the Apache ORC file format and flat map functionalities. Their work included addressing issues related to sequence encodings in checkpoints and adding support for missing sequence IDs within flat maps. The user also implemented code changes related to a native execution engine, including fixing issues with data dereferencing and error handling, advancing the Velox library, and optimizing performance by adding caching mechanisms. These contributions demonstrate a focus on improving the performance and stability of the query engine.
distributed-sqlquerybigdataquery-enginesql
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