Alexander Shaposhnikov is a software engineer with 11 years of experience specializing in compiler internals, static analysis, and performance engineering. Based in Mountain View, he has worked at Facebook and now Google, contributing to large-scale, production-grade toolchains. A prolific open-source contributor to LLVM, Clang, LLDB and related projects, he has shipped tooling like clang-reorder-fields and made concrete memory- and correctness-focused improvements across compiler data structures and analyzers. His work spans bug fixes, optimization, sanitizer plumbing, and debugger robustness—demonstrating deep systems-level insight and attention to numerical stability. Colleagues would note his knack for subtle, high-impact changes (e.g., reducing padding and fixing edge-case analyzer crashes) that improve correctness and runtime characteristics without headline-grabbing features.
The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.
Role in this project:
Back-end Developer & Performance Engineer
Contributions:216 reviews, 2 commits, 77 PRs in 5 months
Contributions summary:Alexander contributed to the LLVM project, specifically focusing on the Flang (Fortran front-end) and LLVM IR (Intermediate Representation) components. Their work included adding and reverting fallthrough annotations, and modifying the code to allow `common::visit` with Clang. They also added a new `sanitize_numerical_stability` attribute and plumbing for the numerical sanitizer, indicating a focus on code quality and performance. Further contributions involved enabling NSAN instrumentation and testing.
Mirror kept for legacy. Moved to https://github.com/llvm/llvm-project
Role in this project:
Back-end Developer
Contributions:10 commits in 11 months
Contributions summary:Alexander primarily contributed to the `clang-tools-extra` repository by developing and modifying tools related to code refactoring. Their contributions included adding the `clang-reorder-fields` tool, which assists in reordering fields within structs and classes to optimize for memory and reduce padding. They addressed issues related to handling unchanged files and implemented improvements in existing tools such as clang-move, involving changes to argument parsing and code style. The user's work demonstrates a focus on improving the functionality and usability of clang tools.
keptwindowsllvm
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