Pete Vilter
Senior Software Engineer II at Pearl Street Technologies
Pittsburgh, Pennsylvania, United States
Summary
🤩
Rockstar🎓
Top SchoolPete Vilter is a Senior Software Engineer II with 14 years of experience building production-grade distributed systems, databases, and developer tooling. He has led cloud-hosted product launches and cross-functional teams—from architecting Cockroach Cloud to shipping live profiling and async transaction APIs at RelationalAI—while consistently focusing on observability and performance. A hands-on systems engineer, Pete contributed significant memory and allocation profiling features upstream to the Julia language, including GC safepoints and an allocation profiler used by language developers. Comfortable across languages and stacks (Julia, Go, TypeScript, Elixir, Rust/DB internals), he blends low-level performance work with pragmatic product delivery. Based in Pittsburgh, he’s known for turning tricky production consistency and profiling problems into repeatable, debuggable systems.
14 years of coding experience
10 years of employment as a software developer
BS Computer Science, BS Computer Science at University of ChicagoConestoga High School
Github Skills (15)
performance-analytics10
performance-monitor10
performance-analysis10
performance-monitoring10
code-profiling10
profiling10
julia10
garbage-collection10
programming-language9
language-design9
hpc9
numerical-computing8
scientific-computing8
c117
c177
Programming languages (18)
Github contributions (5)
JuliaLang/julia
Jul 2021 - Feb 2022
The Julia Programming Language
Role in this project:
Back-end Developer & Performance Engineer
Back-end Developer & Performance EngineerContributions:52 reviews, 16 commits, 14 PRs in 7 months
Contributions summary:Pete primarily contributed to the Julia programming language's internal workings, specifically focusing on garbage collection (GC) and allocation profiling. They implemented GC safepoints, enabled GC logging, and developed an allocation profiler to track memory usage. The user also fixed errors within the allocation profiler and improved the overall performance profiling capabilities of the language.
sciencejulia-languagemachine-learningjulialangpetsc
vilterp/react-blog
Dec 2021 - Dec 2023
Contributions:20 PRs, 32 pushes, 15 branches in 2 years
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