Ariel Uy
Software Engineer, ML Compiler at Annapurna Labs
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolAriel Uy is a software engineer with eight years of experience, currently improving numerical accuracy, memory allocations, and parallelism on the AWS Neuron compiler for Trainium at Annapurna Labs. A Carnegie Mellon CS and Mathematical Sciences graduate, he has deep C++ and backend expertise from building ransomware protection and SSO features at Pure Storage and low-level tooling at IBM. Ariel is an active open-source contributor to rust-clippy, where he’s added lints that catch subtle Rust pitfalls—demonstrating care for correctness across languages. His background also spans teaching rigorous math courses and hands-on live-event production, a combination that sharpens both his analytical rigor and pragmatic coordination skills.
8 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS Mathematical Sciences and Computer Science, Bachelor of Science - BS Mathematical Sciences and Computer Science at Carnegie Mellon University
Stackoverflow
21reputation
8kreached
2answers
1question
Github Skills (13)
linting10
rust10
testing9
data-structure9
algorithm9
data-structures9
algorithms9
java6
sweetalert6
typescript6
spring6
servlet6
angular6
Programming languages (5)
Github contributions (5)
rust-lang/rust-clippy
Apr 2022 - Jul 2022
A bunch of lints to catch common mistakes and improve your Rust code. Book: https://doc.rust-lang.org/clippy/
Role in this project:
Back-end Developer
Back-end DeveloperContributions:4 reviews, 4 PRs, 18 comments in 3 months
Contributions summary:Ariel primarily contributed to the `rust-clippy` repository by implementing new lints and modifying existing ones to catch common mistakes and improve Rust code. They added functionality to handle negative integers in range comparisons and introduced a new lint to check for inconsistent type parameter orders between type definitions and impl blocks. Furthermore, the user made changes to improve the clarity of code, such as suggesting the use of `if..else` statements in place of `.then_some().unwrap_or()`.
linterlintrustlangmistakes
arieluy/truckpack
Oct 2019 - Jan 2022
Truck Packer
Contributions:2 reviews, 2 PRs, 12 pushes in 2 years 3 months
truckpacker
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