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Rafael Z.
Back-end and Systems Engineer

Python
Mysql
Postgresql
Javascript
Docker Cloud
Google Cloud
Amazon Aws
React
Node.js
Spring
Mongodb
Bio

Programming enthusiast with a passion for leveraging technology to enhance various aspects of digital life.

  • Backend Developer
    10/1/2021 - Present

    Developed a web application aimed at optimizing the logistics network for a major e-commerce platform in Latin America, successfully decreasing costs and lead times. Acted as the technical leader for a small team, overseeing the development, deployment, and support of a web application that minimized dependency on third-party market software. Engaged in the refactoring, development, and deployment of systems—including web applications, serverless functions, queues, and microservices—for a multinational agribusiness, achieving stable performance and usability. Engineered an artificial intelligence application utilizing Retrieval-Augmented Generation (RAG) architecture for comprehensive logistics network analysis.

    Crafted and implemented Continuous Integration/Continuous Deployment (CI/CD) pipelines to streamline development processes. Applied a robust testing strategy, encompassing unit, regression, integration, and load tests across all managed applications to ensure reliability and performance. Authored and contributed to extensive documentation and user guides for various projects using Confluence, Markdown, UML, and Mermaid. Actively participated in the company's study groups, focusing on diverse subjects such as Artificial Intelligence, Software Development, Negotiation, and Presentation skills.

  • Junior Programmer Analyst
    10/1/2020 - Present

    Developed a robust data ingestion pipeline utilizing AWS services to streamline data processing workflows. Engineered comprehensive dashboards featuring key indicators tailored specifically for the electric energy sector to aid energy traders in decision-making processes. Designed and implemented a REST API to accurately forecast electric power consumption, enhancing predictive capabilities. Crafted RPCs for the efficient editing of input files used in energy price models, significantly boosting the productivity of analysts. Developed and maintained extensive test suites and continuous integration (CI) pipelines to ensure code integrity and reliability throughout the development lifecycle.

  • Software Engineering at University of São Paulo - POLI
    2023 - 2025

  • Pure Mathematics at University of São Paulo
    2016 - 2021

  • Fundamentals of Network Engineering at Udemy
    8/1/2023

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