IIC2233/Syllabus
Aug 2025 – Oct 2025
3 Months active
Languages Used
Jupyter NotebookMarkdownPythonCSVJSON
Technical Skills
Data AnalysisData StructuresDictionariesDocumentationFile I/OInheritance
CLEMENTE CAMPOS
PROFILE
Clemente Campos
Clemente Campos developed a range of educational and simulation modules for the IIC2233/Syllabus repository, focusing on backend systems, data processing, and user-facing applications. Over three months, he built features such as a smart home simulator with a PyQt5 GUI and password authentication, a RESTful Pokémon API using Flask, and data analytics modules for anime and movie datasets. His work leveraged Python, CSV, and JSON, emphasizing robust data structures, multithreading, and test-driven development. By integrating concurrency patterns, exception handling, and comprehensive unit testing, Clemente delivered maintainable, scalable solutions that enhanced both the technical depth and educational value of the codebase.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
19Total
Bugs
0
Commits
19
Features
15
Lines of code
12,152
Activity Months3
Your Network
23 people
Work History
October 2025
5 Commits • 3 Features
Oct 1, 2025October 2025: Delivered three business-value features in IIC2233/Syllabus, strengthening user experience, security, and API/education foundations. The Smart Home Simulator provides a GUI with password-protected access and frontend-backend integration, enabling realistic interaction and media controls. The threaded concurrency projects (Pizzeria and DCClub) demonstrate scalable parallel processing with queues and locks, supplemented by an educational PDF resource. The Pokémon API Web Server delivers a RESTful Python Flask service for Pokémon data, types, and battles with thorough test coverage and authorization routing decisions. These efforts collectively improve customer-facing UX, teaching value, and a reusable codebase for concurrent patterns and API design.
5 Commits • 3 Features
Oct 1, 2025October 2025: Delivered three business-value features in IIC2233/Syllabus, strengthening user experience, security, and API/education foundations. The Smart Home Simulator provides a GUI with password-protected access and frontend-backend integration, enabling realistic interaction and media controls. The threaded concurrency projects (Pizzeria and DCClub) demonstrate scalable parallel processing with queues and locks, supplemented by an educational PDF resource. The Pokémon API Web Server delivers a RESTful Python Flask service for Pokémon data, types, and battles with thorough test coverage and authorization routing decisions. These efforts collectively improve customer-facing UX, teaching value, and a reusable codebase for concurrent patterns and API design.
October 2025
September 2025
6 Commits • 6 Features
Sep 1, 2025September 2025 focused on delivering feature-rich modules for IIC2233/Syllabus, emphasizing data processing, simulation capabilities, and educational tooling. Delivered Python-based implementations for train simulation, cargo management, priority queuing, and exception-aware learning modules, complemented by Jupyter Notebooks for functional programming and midterm review. All features are underpinned by unit tests and robust data loading, ensuring data integrity, scalability, and maintainability. The work enhances operational realism, student learning outcomes, and the repo's overall technical quality, positioning the project for broader adoption and easier maintenance.
September 2025
6 Commits • 6 Features
Sep 1, 2025September 2025 focused on delivering feature-rich modules for IIC2233/Syllabus, emphasizing data processing, simulation capabilities, and educational tooling. Delivered Python-based implementations for train simulation, cargo management, priority queuing, and exception-aware learning modules, complemented by Jupyter Notebooks for functional programming and midterm review. All features are underpinned by unit tests and robust data loading, ensuring data integrity, scalability, and maintainability. The work enhances operational realism, student learning outcomes, and the repo's overall technical quality, positioning the project for broader adoption and easier maintenance.
August 2025
8 Commits • 6 Features
Aug 1, 2025In August 2025, IIC2233/Syllabus delivered a cohesive set of features that modernize course delivery, expand application capabilities, and strengthen testing coverage. Key outcomes include: 1) Ayudantías Materials Refresh for New Semester – updated AY01 presentation and README with current TAs to ensure accurate course materials for the new term; 2) E-commerce System with Subscriptions and Rewards – implemented user and item models, a cart, and a points system with double-points for subscribed users, supported by unit and integration tests to validate business rules; 3) Ayudantía 02 Notebook: Data Structures and Browser Exercise – delivered a Jupyter Notebook focusing on stacks, dictionaries, and named tuples with a browser exercise to reinforce practical data-structure concepts; 4) DCChrome Browser Simulation Enhancements – refactored to leverage advanced data structures (stacks for navigation, dictionaries for permissions, named tuples for site representation) to improve functionality, security, and maintainability; 5) Anime Data Analytics Module – introduced a Python module for data loading, analysis, and queries with a comprehensive unit test suite to ensure reliability. Overall impact includes up-to-date course materials, stronger system-building capabilities, and expanded test coverage that support faster iteration and higher quality releases.
8 Commits • 6 Features
Aug 1, 2025In August 2025, IIC2233/Syllabus delivered a cohesive set of features that modernize course delivery, expand application capabilities, and strengthen testing coverage. Key outcomes include: 1) Ayudantías Materials Refresh for New Semester – updated AY01 presentation and README with current TAs to ensure accurate course materials for the new term; 2) E-commerce System with Subscriptions and Rewards – implemented user and item models, a cart, and a points system with double-points for subscribed users, supported by unit and integration tests to validate business rules; 3) Ayudantía 02 Notebook: Data Structures and Browser Exercise – delivered a Jupyter Notebook focusing on stacks, dictionaries, and named tuples with a browser exercise to reinforce practical data-structure concepts; 4) DCChrome Browser Simulation Enhancements – refactored to leverage advanced data structures (stacks for navigation, dictionaries for permissions, named tuples for site representation) to improve functionality, security, and maintainability; 5) Anime Data Analytics Module – introduced a Python module for data loading, analysis, and queries with a comprehensive unit test suite to ensure reliability. Overall impact includes up-to-date course materials, stronger system-building capabilities, and expanded test coverage that support faster iteration and higher quality releases.
August 2025
Activity
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Quality Metrics
Correctness91.0%
Maintainability87.8%
Architecture89.6%
Performance83.2%
AI Usage20.0%
Skills & Technologies
Programming Languages
CSVJSONJupyter NotebookMarkdownPython
Technical Skills
API DevelopmentBackend DevelopmentCSV ParsingCSV ProcessingConcurrencyData AnalysisData FilteringData LoadingData SerializationData StructuresDictionariesDocumentationEvent HandlingException HandlingFile Handling
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