mikibardaji/DAW_EXERCICI_ALUMNES
Sep 2025 – Jan 2026
5 Months active
Languages Used
JavaUnknownMarkdown
Technical Skills
Arithmetic OperationsBasic Input/OutputBasic ProgrammingCode CleanupConditional LogicConditional Statements
Marck Montaño
PROFILE
Marck Montaño
Marc developed a suite of educational game modules and core utilities for the mikibardaji/DAW_EXERCICI_ALUMNES repository, focusing on maintainable Java code and object-oriented design. Over five months, he delivered features such as a Pokémon-style battle system, interactive console games, and array management tools, each emphasizing modularity and user input handling. His technical approach included systematic codebase refactoring, namespace consolidation, and consistent naming conventions to reduce technical debt and streamline future development. By integrating algorithmic thinking, input validation, and file management, Marc established a robust foundation that supports rapid iteration, clear documentation, and scalable gameplay mechanics for ongoing project evolution.
Overall Statistics
Feature vs Bugs
82%Features
Repository Contributions
98Total
Bugs
4
Commits
98
Features
18
Lines of code
4,226
Activity Months5
Your Network
12 peopleShared Repositories
12
Work History
January 2026
19 Commits • 3 Features
Jan 1, 2026January 2026 — Delivered key gameplay features and improved codebase quality for mikibardaji/DAW_EXERCICI_ALUMNES. Highlights: Pokémon Battle System with type-based mechanics and refined damage calculations; console-based Array Management tool; and comprehensive codebase cleanup/refactor to improve maintainability. Also fixed critical issues surfaced during refactor, including file-path corrections and updates to core Pokémon classes. Overall impact: stronger gameplay capabilities, faster iteration cycles, and a cleaner, scalable codebase. Technologies: Java, OOP design, refactoring, type-based combat modeling, console UI, and disciplined version control.
19 Commits • 3 Features
Jan 1, 2026January 2026 — Delivered key gameplay features and improved codebase quality for mikibardaji/DAW_EXERCICI_ALUMNES. Highlights: Pokémon Battle System with type-based mechanics and refined damage calculations; console-based Array Management tool; and comprehensive codebase cleanup/refactor to improve maintainability. Also fixed critical issues surfaced during refactor, including file-path corrections and updates to core Pokémon classes. Overall impact: stronger gameplay capabilities, faster iteration cycles, and a cleaner, scalable codebase. Technologies: Java, OOP design, refactoring, type-based combat modeling, console UI, and disciplined version control.
January 2026
December 2025
3 Commits • 1 Features
Dec 1, 2025December 2025 performance summary for mikibardaji/DAW_EXERCICI_ALUMNES. Delivered a solid foundation for a playable prototype by establishing core scaffolding and an initial game loop, enabling early validation of gameplay flow and stakeholder demos. This work focuses on business value by accelerating QA feedback, reducing risk for future feature work, and setting a clear baseline for measurement. Key outcomes include a functional game scaffold with a Jugador model, scoring hooks, and a basic simulation featuring a player and a guard, along with coin collection, obstacle avoidance, adjustable difficulty levels, and power-ups. The work also includes code quality improvements and project hygiene to facilitate maintainability and collaboration. This foundation enables rapid iteration on gameplay mechanics, AI behavior, and level design in subsequent sprints, while providing a reproducible baseline for performance reviews and demos.
December 2025
3 Commits • 1 Features
Dec 1, 2025December 2025 performance summary for mikibardaji/DAW_EXERCICI_ALUMNES. Delivered a solid foundation for a playable prototype by establishing core scaffolding and an initial game loop, enabling early validation of gameplay flow and stakeholder demos. This work focuses on business value by accelerating QA feedback, reducing risk for future feature work, and setting a clear baseline for measurement. Key outcomes include a functional game scaffold with a Jugador model, scoring hooks, and a basic simulation featuring a player and a guard, along with coin collection, obstacle avoidance, adjustable difficulty levels, and power-ups. The work also includes code quality improvements and project hygiene to facilitate maintainability and collaboration. This foundation enables rapid iteration on gameplay mechanics, AI behavior, and level design in subsequent sprints, while providing a reproducible baseline for performance reviews and demos.
November 2025
15 Commits • 5 Features
Nov 1, 2025Month 2025-11 highlights: Delivered a cohesive set of educational game modules in mikibardaji/DAW_EXERCICI_ALUMNES, with focused feature development, code hygiene improvements, and preparatory groundwork for future extension. Key features and updates span interactive gameplay, points-based mechanics, and modular design, underpinned by targeted refactors and cleanup of legacy artifacts.
15 Commits • 5 Features
Nov 1, 2025Month 2025-11 highlights: Delivered a cohesive set of educational game modules in mikibardaji/DAW_EXERCICI_ALUMNES, with focused feature development, code hygiene improvements, and preparatory groundwork for future extension. Key features and updates span interactive gameplay, points-based mechanics, and modular design, underpinned by targeted refactors and cleanup of legacy artifacts.
November 2025
October 2025
36 Commits • 5 Features
Oct 1, 2025October 2025 monthly summary for mikibardaji/DAW_EXERCICI_ALUMNES: Delivered targeted refactors and namespace consolidation, introduced foundational Valores module, and completed a series of repository cleanups to reduce technical debt. Work focused on business value through improved maintainability, clearer ownership, and a stable baseline for upcoming features.
October 2025
36 Commits • 5 Features
Oct 1, 2025October 2025 monthly summary for mikibardaji/DAW_EXERCICI_ALUMNES: Delivered targeted refactors and namespace consolidation, introduced foundational Valores module, and completed a series of repository cleanups to reduce technical debt. Work focused on business value through improved maintainability, clearer ownership, and a stable baseline for upcoming features.
September 2025
25 Commits • 4 Features
Sep 1, 20252025-09 Monthly summary for mikibardaji/DAW_EXERCICI_ALUMNES focused on delivering a clean, maintainable baseline and preparing for future feature work.
25 Commits • 4 Features
Sep 1, 20252025-09 Monthly summary for mikibardaji/DAW_EXERCICI_ALUMNES focused on delivering a clean, maintainable baseline and preparing for future feature work.
September 2025
Activity
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Quality Metrics
Correctness86.2%
Maintainability85.0%
Architecture80.0%
Performance85.2%
AI Usage20.2%
Skills & Technologies
Programming Languages
JavaMarkdownUnknown
Technical Skills
Algorithmic ThinkingArithmetic OperationsBasic Algorithm DesignBasic AlgorithmsBasic Input/OutputBasic ProgrammingBasic Programming ConstructsCode CleanupCommand Line InterfaceCommand Line Interface (CLI)Conditional LogicConditional StatementsConsole ApplicationConsole Input/OutputControl Flow
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