Background

I am a computer engineering graduate with a strong interest in systems programming, web infrastructure, and the craft of building software that lasts. I value clarity in code, precision in documentation, and humility in problem-solving.

Current Focus

Currently focused on backend development with TypeScript and Go, improving observability in distributed systems, and publishing technical notes on software design and engineering practice.

Career Objective

Seeking roles where I can contribute to well-architected products, grow as an engineer through meaningful challenges, and collaborate with teams that prioritize quality and learning.


Education

  • B.S. Computer Engineering

    State University of Technology · Brazil · 2018 — 2022

    Coursework in algorithms, operating systems, computer networks, databases, and software engineering. Final project: distributed task scheduler for edge computing environments.

  • Technical Certificate in Web Development

    Regional Technical Institute · Brazil · 2017 — 2018

    Foundational training in HTML, CSS, JavaScript, and relational databases.

Professional Background

  • Software Engineer

    2024 — Present

    Northline Systems · Remote

    Develop and maintain backend services for a logistics platform serving regional clients.

    • Reduced API response times by 40% through query optimization and caching strategy.
    • Designed and implemented a webhook delivery system with retry logic and dead-letter handling.
    • Contributed to migration from monolith to modular service architecture.
  • Junior Developer

    2022 — 2024

    Meridian Digital · São Paulo, Brazil

    Built internal tools and client-facing features for a digital agency specializing in data dashboards.

    • Developed REST APIs and admin interfaces used by 12+ client teams.
    • Introduced automated testing pipeline, increasing deployment confidence.
    • Collaborated with designers to implement accessible, responsive interfaces.
  • Software Engineering Intern

    2021 — 2022

    Campus Research Lab · University

    Supported research projects in embedded systems and IoT data collection.

    • Built firmware utilities and data ingestion scripts for sensor networks.
    • Documented experimental protocols and tooling for lab reproducibility.