Stephan Lin is a Senior Software Engineer in New York with 13 years of experience building performant, reliable systems across C++, Java, Python, and JavaScript. He has strong foundations in data structures, algorithms, and object-oriented design, and a track record of solving complex integration and performance problems at companies like Bloomberg and Google. Stephan contributes to prominent open-source projects—fixing subtle pandas time-series and indexing bugs and improving performance in core take functions, and implementing compiler optimizations in Clang that refine constructor/destructor code generation. He brings a pragmatic balance of low-level systems expertise and high-level application engineering, comfortable moving between compiler internals and data-centric Python libraries. Known for attention to correctness and edge cases, he often focuses on subtle timezone, indexing, and ABI-related issues that other engineers miss.
13 years of coding experience
3 years of employment as a software developer
Bachelor’s Degree, Computer Science, Bachelor’s Degree, Computer Science at City University of New York City College
Mirror kept for legacy. Moved to https://github.com/llvm/llvm-project
Role in this project:
Back-end Developer
Contributions:8 commits in 1 month
Contributions summary:Stephan's contributions center on enhancing the Clang compiler's code generation capabilities. They implemented optimizations related to 'this'-returning constructors and destructors, leveraging the 'returned' attribute for potential tail calls and avoiding unnecessary 'this' save-restores. The user also addressed and fixed issues in the C++ constructor/destructor tests, particularly those pertaining to ARM architecture, and reverted some test changes while creating a smaller and more generic fix. They corrected errors related to the 'this'-return optimization.
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Role in this project:
Data Scientist
Contributions:26 commits in 1 month
Contributions summary:Stephan primarily contributed to bug fixes within the pandas library. The commits address inconsistencies and errors related to indexing, slicing, and setting values within `Series` and `DataFrame` objects, particularly when dealing with time-series data and timezone handling. These fixes involve correcting how the library handles `DateTimeIndex`, `PeriodIndex`, and related date/time operations, ensuring consistent behavior across different scenarios. Further, the user enhanced the `take` functions within pandas, optimizing performance and improving the handling of non-NA fill values.
pythondatalabeled-datamanipulationdataframes
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Stephan Lin - Senior Software Engineer at Bloomberg LP