Mateus – React, AWS, Node.js

An intelligent tool that interprets dashboards or screenshots, explains KPIs in plain language, and provides insights, risks, and actionable recommendations to help non-technical users understand and act on their data.

• Built the entire front-end flow for uploading dashboard screenshots/URLs and visualizing the AI-generated analysis;
• Designed the UI/UX for the analyzer module using Next.js + Tailwind, focusing on clarity, readability, and information hierarchy;
• Implemented the data visualization layer for extracted KPIs, trends, anomalies, and recommendations;
• Created reusable components for metric cards, AI explanations, loading states, and error handling;
• Integrated seamlessly with the backend AI pipeline via tRPC, ensuring type-safe requests and responses;
• Improved usability by adding progress indicators, step-by-step feedback, and clean result layouts;
• Optimized client-side performance, reducing render cost on pages with heavy data;
• Collaborated closely with backend engineers to define payload structures and refine the AI output UI;
• Conducted user testing with internal teams to refine UX and improve interpretation clarity.

A project management platform designed to accelerate developer growth, featuring collaborative project work, progress tracking, mentor assignment, and a credits-based reward system.

• Designed and implemented the complete project architecture;
• Developed the user experience from the ground up;
• Selected and configured the project infrastructure;
• Built and managed the end-to-end marketing system integration.

An internal analytics platform that centralizes data to give executives real-time insights, helping management track revenue, efficiency, SLAs, and team performance with customizable dashboards and automated reporting.

• Implemented reusable UI components and data-visualization widgets for charts, KPIs, and trend analysis;
• Created a highly optimized GraphQL data layer with caching and partial pagination for real-time metrics;
• Ensured performance and UX quality, reducing dashboard load time to under 1.2s;
• Provided guidance to junior developers and drove best practices across the codebase.

The platform streamlines the discovery phase by quickly assessing a company’s operational maturity through a smart questionnaire, generating risk levels, recommendations, and a structured roadmap to reduce consulting hours.

• Designed and implemented the full architecture using Next.js, tRPC, and FastAPI microservices;
• Built the dynamic diagnostic form builder with conditional questions and scoring logic;
• Implemented automated scoring, maturity level calculations, and recommendation engine;
• Created PDF report generation with personalized branding and detailed company insights;
• Developed the admin dashboard for consultants to manage questions, categories, and evaluation models;
• Built reusable UI components with Tailwind + shadcn and improved usability across the platform;
• Deployed and optimized the system on Vercel, ensuring fast load times and stable performance;
• Collaborated directly with consultants to translate their business methodology into a digital product.