Marcos Ribeiro | Curriculum Vitae

SYSTEM: OPTIMAL
EPOCH: CRETACEOUS

Marcos Ribeiro

> Software Engineer

πŸ“ Belo Horizonte - Brazil πŸ“§ [email protected] 🌐 mavissauro.com πŸ™ github.com/mavissauro πŸ’Ό linkedin.com/in/mvsr
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Experience

Software Engineer (Mid-Level)

Syngenta Digital | Belo Horizonte, Brazil

Aug 2022 – Present
  • Led the 0-to-1 development of a Greenfield Farm Management System (FMS), architecting a scalable frontend using React, Refine, and Ant Design.
  • Delivered a feature-complete MVP in 6 months, enabling real-world market validation for warehouse and financial management modules.
  • Engineered a self-service onboarding engine using N8N and Node.js, transitioning the platform to a Product-Led Growth (PLG) model.
  • Reduced user onboarding time from several days to under 20 minutes by automating data validation and provisioning.
  • Architected and deployed an AI-powered speech-to-text order generation system using AWS infrastructure (EC2, S3, MSK for messaging, CloudFormation for IaC), enabling customers to create orders through voice commands.

Junior Software Engineer

Syngenta Digital | Belo Horizonte, Brazil

May 2021 – Aug 2022
  • Developed complex geospatial visualizations using Mapbox, enabling real-time interactive tracking of farm assets on custom maps.
  • Optimized frontend performance by refactoring legacy React components, significantly reducing page load times for high-traffic modules.
  • Led UI refactoring initiatives using Ant Design to improve code maintainability and ensure design consistency across the product suite.

Software Engineering Intern

Syngenta Digital | Belo Horizonte, Brazil

Aug 2020 – May 2021
  • Achieved a rapid technical ramp-up, delivering full-stack features in Python and React/Redux within the first month of onboarding.
  • Demonstrated high adaptability by mastering the internal development ecosystem and supporting core engineering workflows.

Undergraduate Researcher

LCE – Evolutionary Computation Lab, UFMG | Belo Horizonte, Brazil

Dec 2019 – Aug 2020
  • Developed a system to optimize the structural configuration of electrical transmission towers using genetic algorithms, reducing design search space and improving convergence to optimal solutions.
  • Built interactive geospatial visualizations to display the impact of environmental factors β€” including climate, elevation, and terrain β€” on tower configuration decisions.
  • Developed a JavaScript web application to visualize optimization results, rendering interactive maps and charts to compare tower configurations across different geographic and climatic conditions.

Undergraduate Researcher

LABBIO – Bioengineering Lab, UFMG | Belo Horizonte, Brazil

Jul 2019 – Dec 2019
  • Designed and implemented a patient gait analysis system using a pressure-sensitive mat with a mesh of actuators, capturing real-time footstep data to characterize walking patterns.
  • Processed and visualized sensor data to generate gait reports, supporting clinical assessment of patients' locomotion and biomechanical analysis.
  • Integrated hardware sensor input with software data pipelines, enabling automated collection and structured storage of patient movement information.
About

Software Engineer with 6 years of progressive experience and a track record of growth within a high-impact technology company. Proven ability to lead 0-to-1 product launches, including a comprehensive Farm Management System (FMS) delivered as an MVP in 6 months. Expert in React, Node.js, and Python, with specialized experience in geospatial data (Mapbox), workflow automation (N8N), and Product-Led Growth (PLG) strategies. Recognized for a rapid technical ramp-up and a focus on transforming complex manual processes into high-performance, self-service digital experiences.

Skills

Languages

Python JavaScript (ES6+) TypeScript Java SQL HTML/CSS

Frameworks & Tools

React Node.js Refine Ant Design Mapbox N8N PostgreSQL Docker Git AWS (EC2, S3, MSK, CloudFormation)
Education

BS in Electrical Engineering

2018 – 2024

Federal University of Minas Gerais (UFMG)

Coursework: Algorithms and Data Structures, Software Engineering, Digital Systems, Microprocessors, and Control Systems.

Spec in Data Science

2025 – 2026

UNICAMP

Coursework: Machine Learning, Deep Learning, MLOps, Business Analytics, Python, R, NoSQL/NewSQL databases.

Languages
Portuguese Native Speaker
English C1 (Advanced)
Spanish B1 (Intermediate)