Portfolio
Each project page covers the problem, the technical decisions, what I built and the evidence — tests that were run, live demos and known limitations. Team projects say so.
A full-stack scouting platform for goalkeepers, built from raw match-event data. Every keeper is compared only with peers from the same competition and season, and the sample size is always shown next to the number.
11 techs · Python
Automated tests 288 passed, 1 skipped
Internship project: a centralised logging, alerting and monitoring platform with Serilog and the Elastic Stack for EDIGCIA, Ediprinter's management software for vehicle inspection centres.
10 techs · .NET
Validation Log ingestion, data views and alerts tested against several scenarios
A personal budgeting app: enter what you earned this month and it tells you how much to set aside for bills, savings, investment, leisure, activities and unexpected costs. Works offline; the data never leaves the device.
6 techs · TypeScript
Automated tests 68 passed
An events, seats and orders API. One endpoint lists an event's free seats; the other reserves a specific seat — and two requests for the same seat can never both succeed, even across separate server processes.
5 techs · Node.js
Automated tests 8 passed
An HTTP service that shortens URLs, redirects on lookup and counts how often each link is followed. No dependencies: Node's built-in HTTP server and SQLite.
4 techs · Node.js
Automated tests 7 passed
Team coursework: a role-based REST API and an Angular dashboard for managing an organisation's announcements, invoices, orders, expense reports, member requests and warnings.
9 techs · Node.js
Integration tests 128 test cases in the repository
An online-shop simulation in C# and .NET 8, organised in layers: domain models, interface-backed repositories, business rules and typed exceptions.
2 techs · C#
A scouting report makes claims — "creates a lot of chances", "doesn't track runners". This project tests each one against league data and my own video coding, using rules written down before the data is collected.
10 techs · Python
Automated tests 97 passed
A KNIME workflow that takes a Transfermarkt export of 32,405 players, isolates the FC Porto squad, cleans and joins player attributes with market valuations, and writes the result to CSV, JSON, XML and Excel, plus two charts.
5 techs · KNIME
Source data CSV of 32,405 players from the Transfermarkt database
Shorter coursework and exercises, without a page of their own.
Counts, measures and grades oranges from video. HSV conversion, segmentation, morphology and connected-component labelling are written by hand in C; OpenCV is only used for capture and drawing.
Four Kotlin and Jetpack Compose apps; the main one is a task manager with Firebase Auth, Firestore, Hilt and an MVVM architecture.
Android app for a social store's inventory: donations, deliveries to beneficiaries, alerts and reports. Built with a teammate.
Lexer, parser and evaluator for a small functional language, built in four stages, with pattern matching. Team coursework.
Ticketing web app for ten museums, with a cart, payments flow, JWT accounts and a Portuguese/English interface. Built with a course partner.