Daniel Winter

Quality Assurance

  • Robot Framework and Appium course for Android and iOS
    Test codes carried out during the Robot Framework and Appium course for Android and iOS
  • Advanced Cypress Course
    Test codes performed on a custom application for improve my Cypress knowledge through API and GUI testing
  • Intermediary Cypress Course
    Test codes performed on the Git Lab clone application to deepen Cypress knowledge through API and GUI testing
  • Basic Cypress Course
    Test codes performed on a basic form submission application using Cypress
  • Final Course Project: SegBee:
    Application developed to segment honey from other classes in an apiary plate through a photo taken by a mobile device
  • Fighter's Marvel
    Compact version of classic Street Fighter created with Marvel characters for studying and improving HTML, CSS, and JS skills
  • Electronic Notes System
    PHP system with PostgreSQL database integration for creating, modifying, and deleting electronic notes, with browser-based manipulation through HTML, CSS, and Javascript. Its creation aimed to train Fullstack skills by simulating part of a real system.
  • Pokedex - Pokémon
    Compact version of the Pokedex created to improve Front End development knowledge
  • Ant Colony
    The work consists of implementing the bio-inspired algorithm to analyze real-life ant colony behavior, using a probability-based heuristic created to solve computational problems involving path finding in graphs, focusing on food search analysis
  • Dining Philosophers Problem
    The problem consists of five philosophers seated around a circular dinner table, each with a plate of pasta. The philosophers have chopsticks, and each needs 2 chopsticks to eat, but there is only one chopstick for each pair of plates. A philosopher has two actions: think or eat. The implementation resolves the dining philosophers problem using semaphores to control when each philosopher will eat
  • Database Classification Work
    The objective was to use 4 Machine Learning algorithms (KNN (K-Nearest Neighbors), SVM (Support Vector Machine), Neural Network Perceptron, and Naive Bayes) for classifying a database of movie reviews from IMDB
  • B+ Tree and Extendible Hash
    This work aimed to compare two algorithms using a Database Management System (DBMS) using B+ and Extendible Hash, performing insertion, removal, and search operations in both structures.
  • B Tree and Flow Network Graph Work
    The objective was to implement a complete B Tree with its main functions (insertion, selection, search, and deletion) using typed record files and the implementation of Flow Networks in a Graph.