Steven Troxler is a software engineer with 11 years of experience building full-stack systems, from front-end apps to static analyzers and distributed data platforms, currently working at Meta on the Pyre typechecker and related static analysis tooling. He combines a strong statistical background (MS Statistics, BA Mathematics & Economics) with practical ML, data infrastructure, and devops experience, having architected experiment platforms and deterministic sampling systems that delivered significant efficiency gains. Steven is an active open-source contributor, with notable work on high-profile projects such as HHVM, Pyre, Duckling, and LibCST, often improving cross-language FFI, type inference, and parsing capabilities. His work spans OCaml, Python, Rust, Haskell and more, reflecting a comfort with both systems programming and high-level language tooling. Beyond shipping features, he shapes project direction—submitting PEPs and driving consensus in the Python ecosystem—and has a track record of reducing resource usage through thoughtful refactors and async optimizations. Colocated in San Francisco, he brings a research-minded approach to practical engineering problems, especially at the intersection of programming language tooling and causal/statistical methods.
11 years of coding experience
8 years of employment as a software developer
Bachelor of Arts (BA), Mathematics and Economics, 4.0, Bachelor of Arts (BA), Mathematics and Economics, 4.0 at Arizona State University
Contributions:14 reviews, 1120 commits, 83 PRs in 1 year 10 months
Contributions summary:Steven appears to be contributing to the development of a Python type checker for a given codebase. Their commits involve adding and modifying core type-checking functionality, specifically concerning class attribute and method handling, as demonstrated by commits related to decorators, type variable behavior, and error reporting within the type-checking framework. The contributions involve directly manipulating the underlying code, as evidenced by commits focusing on code refactoring, performance optimization, and fixing of bugs.
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:61 reviews, 39 commits, 78 PRs in 8 months
Contributions summary:Steven primarily contributed to the `libcst` library, which is a Python concrete syntax tree parser and serializer. Their work focused on enhancing the library's functionality, particularly around type annotation handling. They fixed bugs related to the `TypeAnnotationsVisitor`, added tests to verify current behaviors, and refactored the code to improve annotation processing, including support for relative imports and incorporating `use_future_annotations`.
pythonconcreteparsersaspectssyntax-tree
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