Leonardo Solé Rodrigues

Lead development of scalable, accessible web interfaces and architected an internal React/TypeScript design system, migrated the public portal to Next.js/Strapi improving Core Web Vitals, and standardized ~20 CI/CD pipelines from Jenkins to GitHub Actions.

Designed and evangelized a microfrontend architecture for the Fleet Manager Inspections portal, contributed to mobile app launches and reusable web components, and implemented automated test suites and observability for production systems.

Modernized a legacy ELD platform by migrating C# and JavaScript modules to React and TypeScript, improved CI/CD pipelines, and collaborated across teams to resolve performance and quality issues.

Proposed and implemented a federated learning method using TensorFlow and Flower that outperformed local models and developed multi-criteria route planning algorithms published in Future Generation Computer Systems (2022).

Supported frontend and backend development for a production ELD platform, participated in Agile ceremonies, code reviews, and cross-team collaboration to deliver reliable features.

Activities and societies: Undergraduate researcher at GTA Lab; published in Future Generation Computer Systems; implemented federated learning methods and multi-criteria route planning algorithms.

Completed a Bachelor’s degree in Electronic and Computer Engineering with research experience in federated learning and multi-criteria route planning, resulting in a publication and public dataset release.

Activities and societies: Studied advertising and art direction; prepared for professional roles in creative agencies.

Completed a Bachelor’s degree in Social Communication with a focus on Advertising and Art Direction, supporting a subsequent five-year career as an Art Director.