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Gabriel PeronGP
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Gabriel Peron

@gabrielperon

Solutions Architect & Senior Full Stack Engineer specializing in high-volume systems and performance optimization

Brazil
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What I'm looking for

I seek a Solutions Architect role to design and scale high-throughput ecosystems. My focus is on resolving complex performance bottlenecks, building resilient cloud architectures, and acting as a technical reference. I thrive when aligning technical strategy with business goals to ensure platforms are secure, cost-effective, and built for massive scale.

I’m a Solutions Architect and Senior Full Stack Engineer focused on building, scaling, and maintaining high-throughput backend applications. My core stack revolves around PHP, Python, Vue, React, and cloud infrastructure.

I specialize in tracking down severe performance bottlenecks and modernizing legacy architectures without breaking existing operations. For example, at Infracommerce, I engineered a preprocessed data summarization layer that dropped critical query response times from ~40 seconds down to under 1 second. I also built automated solutions that reduced support tickets by over 20%, doubled image server performance, and integrated DevSecOps practices (like SBOM and vulnerability scanning) directly into our CI/CD pipelines.

While I guide high-level architectural decisions, my day-to-day is heavily hands-on. I enjoy taking complex distributed system designs and personally driving their execution in the codebase, ensuring we deliver reliable, scalable platforms that handle massive e-commerce traffic under tight SLAs.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

FC

Federal Institute of Santa Catarina

Bachelor of Science, Computer Science

2017 - 2022

Activities and societies: Capstone: Heart Attack Prediction with Neural and Bayesian Networks; comparative AI study applying neural and Bayesian approaches.

Bachelor's degree in Computer Science with a capstone project on heart attack prediction using neural and Bayesian networks and a comparative study applying artificial intelligence.

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