Tim Hatch - Software Engineer at Netflix

Tim Hatch

Software Engineer at Netflix

California, United States

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Summary

🤩

Rockstar

🎓

Top School

Tim Hatch is a seasoned software engineer with 18 years building scalable, safety-minded systems across Netflix, Meta, and Google, currently focused on production engineering at Netflix from California. He specializes in Python ecosystems, native extensions, and large-scale deployment safety—work at Meta included enabling third-party libraries, Rust extensions, and NLP packages like Hugging Face for thousands of projects. A prolific OSS contributor, Tim has improved parser and tooling projects used broadly (LibCST, Bowler, ScanCode) and has dabbled in CPython and static analysis for packaging, reflecting deep language and build-system expertise. He pairs systems-level SRE experience (peta-scale transfers and cost-aware autoscaling at Google) with hands-on debugging skills (gdb, Python C API), making him equally at home shipping infra improvements or refining developer-facing tools.

18 years of coding experience

12 years of employment as a software developer

Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at University of North Texas

Github Skills (27)

parser10

python10

lexer10

testing10

refactor10

syntax10

parsing10

parse10

error-handling10

refactoring10

lex10

scripting9

command-line-interface9

bash9

command-line9

Programming languages (16)

C#JavaC++CRustMakefileGoHTML

Github contributions (5)

facebookincubator/Bowler

Nov 2018 - Jan 2021

Safe code refactoring for modern Python.

Role in this project:

Backend Developer

Contributions:2 reviews, 44 commits, 22 PRs in 2 years 2 months

Contributions summary:Tim primarily contributed to the `bowler` project by improving error handling, adding functionality to match filenames, and enhancing the tooling. They addressed user-visible errors when processing files and introduced features like displaying token names to aid debugging. Furthermore, they implemented a feature to match arbitrary filenames and added a dump option to show the form used for matching patterns.

code-refactoringrefactoringpythonsafe

Instagram/LibCST

Nov 2019 - Mar 2021

A concrete syntax tree parser and serializer library for Python that preserves many aspects of Python's abstract syntax tree

Role in this project:

Back-end Developer

Contributions:13 reviews, 27 commits, 18 PRs in 1 year 4 months

Contributions summary:Tim primarily contributed to the `libcst` project by addressing parser and syntax-related issues. Their work involved fixing bugs related to the Python parser, enhancing error handling, and adding support for new language features in different Python versions. They also improved the codebase by implementing changes that allowed more correct parsing in certain situations, and generally enhanced the library's capacity to interpret Python code accurately.

pythonconcreteparsersaspectssyntax-tree

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