Alejandro Durante

Principal Platform Engineer

Azul, Buenos Aires, Argentina
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Summary

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Rockstar
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Alejandro Durante is an experienced fintech-focused software engineer with 11 years building robust, high-performance systems across startups and large platforms in Argentina and the US. He’s worked up to Principal and Staff roles at companies like Kavak, Upgrade and Mercado Libre, specializing in backend reliability, performance optimization and scalable architecture for financial products. A hands-on consultant now, he pairs deep production SRE and full-stack experience with pragmatic design sensibilities born from shipping mission-critical payment and lending systems. Alejandro is also an active Go contributor—improving benchmarks, fixing data races and documenting usage patterns in a popular goroutine worker-pool library—reflecting a taste for reinventing and hardening core primitives. Colleagues describe him as someone who moves fluidly between code, architecture and observability, bringing a practical focus on security and availability to fintech challenges.
code12 years of coding experience
job16 years of employment as a software developer
bookSystems Engineer Software Engineering, Systems Engineer Software Engineering at Universidad Nacional del Centro de la Provincia de Buenos Aires
languagesSpanish, English, Italian
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Github Skills (8)

golang10
go10
high-performance10
go-language10
concurrency10
testing9
benchmarking9
benchmark9

Programming languages (5)

TypeScriptJavaJavaScriptGoHTML

Github contributions (5)

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alitto/pond

Mar 2020 - Oct 2022

🔘 Minimalistic and High-performance goroutine worker pool written in Go
Role in this project:
userBack-end Developer
Contributions:37 releases, 21 reviews, 60 commits in 2 years 7 months
Contributions summary:Alejandro primarily contributed to the `pond` repository, a Go-based worker pool library. Their work involved adjusting benchmark parameters to improve performance analysis. They added example code to demonstrate different usage scenarios, including fixed-size and dynamic-size worker pools, and task groups. Additionally, the user addressed data races and updated dependencies to improve performance and fix bugs.
gogoroutineworker-poolgoroutine-poolworker-pool-factory
alitto/angular-event-utils

Jun 2015 - Jun 2015

Contributions:2 releases, 25 pushes, 1 branch in 2 days
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