I'm a Software Developer with a degree in Web Information Systems and Technologies and hands-on experience contributing to healthcare client projects at PHORMULA GROUP. I build web and mobile applications across frontend and backend, from React and React Native interfaces to Node.js/Express APIs and databases. I value problem-solving, maintainable code and teamwork, and I'm always open to new technologies, with a growing interest in DevOps and automation.
Activulse is my bachelor's final project in Web Information Systems and Technologies (TSIW) at ESMAD — P.PORTO (2023/2024). It is a cross-platform React Native application for cardiovascular risk assessment, physical activity tracking and personalized health guidance, supported by a Node.js/Express REST API and MySQL database.
The project combined software development with academic research and collaboration with ESS — School of Health (P.PORTO) on the problem domain, requirements and evidence-based guidance.
Published conference abstract (2026): Mobile Application for Cardiovascular Risk Assessment, co-authored with Leonor Miranda and Mário Pinto, featured in the Book of Abstracts of the 8th Meeting on Medicinal Biotechnology (May 2026).
Main areas: React & TypeScript, React Native, Node.js & Express, REST APIs, SQL databases, testing and CI/CD.
ORM / ODM experience: Sequelize, SQLAlchemy and Mongoose.
Version Control & Design
API & Testing
Featured: Einstein Tribute Page · Activulse · PawShare (team contribution)
| Project | Highlights | Tech Stack | Links |
|---|---|---|---|
| Einstein Tribute Page | Interactive 3D tribute featuring scroll-driven storytelling, real-time black holes, 40 explorable galaxies, six languages, PWA support, testing and automated Render deployment. | React, TypeScript, Three.js, Tailwind CSS Vite, GLSL, Web Audio API, Motion, i18next, Vitest, Workbox |
Live Demo · Screenshots GitHub · Issues |
| Pokémon Search | Frontend app consuming a public REST API, with asynchronous requests, dynamic results and loading/error states. | HTML, CSS, JavaScript, Fetch API | Live Demo · GitHub · Issues |
Projects built with React Native. Activulse is my bachelor's final project; PawShare is a collaborative project to which I contributed.
| Project & Role | Overview | Tech Stack | Demo / Screenshots | Repository |
|---|---|---|---|---|
| Activulse Bachelor's Final Project |
Cross-platform cardiovascular health app with Framingham risk assessment, activity tracking, personalized guidance and gamification. Full-stack design with a mobile client, a REST API and database. | React Native, Expo, TypeScript, Node.js, Express, MySQL React Query, NativeWind, Sequelize, JWT, Swagger/OpenAPI (YAML API docs) |
Video Demo · UI Screenshots | GitHub · Issues |
| PawShare Academic Team Project — Contributor |
Cross-platform mobile app connecting pet owners, adopters and caregivers through pet adoption, temporary pet care, user profiles and QR-based lost-pet identification. | React Native, TypeScript, Node.js, Express, Sequelize, MySQL NativeWind, Cloudinary |
UI Screenshots | Team Repository · Issues |
| Project | Highlights | Tech Stack | Links |
|---|---|---|---|
| PhotoShow | Desktop photo manager using MVC-style separation of concerns, user authentication, bcrypt password hashing, persistent storage and image processing. | Python, Tkinter, SQLite, SQLAlchemy pytest, pytest-mock, pytest-cov, Black, flake8, Pillow, PyInstaller |
Screenshots · GitHub · Issues |
| GrubSnake | Snake-style arcade game with keyboard controls, collision detection, dynamic growth and score tracking. | Python, Pygame | GitHub · Issues |
Focus Areas:
- 📐 Statistical computation - matrix operations, descriptive statistics, linear regression
- 🔍 Exploratory data analysis (EDA) - trends, distributions, seasonality, correlations, forecasting
- 📊 Data visualization - line charts, bar plots, box plots, heatmaps, scatter plots, time-series plots
- 🧹 Data cleaning & preprocessing - outlier removal, categorical encoding, feature engineering
- 🔮 Predictive modeling - regression, trend analysis and comparing models
- 🤖 Machine learning - introductory modeling with scikit-learn (regression, classification and preprocessing)
| Project | Overview | Open in Colab |
|---|---|---|
| Demographic Data Analyzer | Analyzes demographic and income patterns from the UCI Adult Census Income dataset - covering socioeconomic disparities, education premiums, and workforce demographics. |  |
| Mean, Variance & Standard Deviation Calculator | Computes statistical measures (mean, variance, std dev, max, min, sum) on a list of 9 numbers reshaped into a 3×3 matrix - along columns, rows, and the flattened array. | |
| Medical Data Visualizer | Explores relationships between lifestyle factors, biomarkers, and cardiovascular disease risk using the Kaggle CVD dataset (70,000 patients) through EDA and statistical visualization. | |
| Page View Time Series Visualizer | Visualizes and analyzes 1,238 days of freeCodeCamp.org forum page views - revealing growth trends, seasonal patterns, and distribution shifts across a 3.5-year period. | |
| Sea Level Predictor | Analyzes 172 years of global sea level data (1880–present) from NOAA/CSIRO and predicts sea level rise through 2050 using dual linear regression models (long-term vs. recent trend). | |