mpinel6/CSC4330FInalProject
Apr 2025 – May 2025
2 Months active
Languages Used
DartJavaScriptObjective-CPythonSwift
Technical Skills
AI DevelopmentAI IntegrationAI LogicAPI DevelopmentAlgorithm DesignCode Readability
Christian
PROFILE
Christian
Christian Fullerton developed foundational AI features for the mpinel6/CSC4330FInalProject repository, focusing on AI-driven gameplay for Phase 10, Liars Deck, and Liars Bar variants. He migrated AI logic from Python to Dart and Flutter, ensuring cross-platform consistency and maintainability. Christian designed modular AI architectures, including PlayerMemory management and decision-making systems that track bluff outcomes, estimate truth probabilities, and apply decaying suspicion scores. His work emphasized code readability, documentation, and refactoring, resulting in a maintainable codebase ready for QA. By consolidating AI memory and logic, he enabled realistic, extensible AI behavior and streamlined future development and testing cycles.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
16Total
Bugs
0
Commits
16
Features
2
Lines of code
1,708
Activity Months2
Your Network
10 people
Work History
May 2025
6 Commits • 1 Features
May 1, 2025May 2025 Monthly Summary: Delivered AI memory-based decision-making enhancements for Liars Bar and Liars Deck, consolidating the AI memory system and decision logic to improve realism and reliability. Implemented comprehensive PlayerMemory management, tracked bluff outcomes and seen cards, estimated truth probabilities, and applied decaying suspicion scores. Refactored the AI into a modular design across three files to improve readability and maintainability, and updated API documentation (Javadocs). Prepared final improvements for testing and QA.
6 Commits • 1 Features
May 1, 2025May 2025 Monthly Summary: Delivered AI memory-based decision-making enhancements for Liars Bar and Liars Deck, consolidating the AI memory system and decision logic to improve realism and reliability. Implemented comprehensive PlayerMemory management, tracked bluff outcomes and seen cards, estimated truth probabilities, and applied decaying suspicion scores. Refactored the AI into a modular design across three files to improve readability and maintainability, and updated API documentation (Javadocs). Prepared final improvements for testing and QA.
May 2025
April 2025
10 Commits • 1 Features
Apr 1, 2025Monthly summary for 2025-04 focused on establishing AI groundwork and enabling future AI-driven features for Phase 10 and Liars Deck variants within the CSC4330 Final Project. Key architectural changes, code quality improvements, and game-mode readiness were delivered to support ongoing product value and faster iteration.
April 2025
10 Commits • 1 Features
Apr 1, 2025Monthly summary for 2025-04 focused on establishing AI groundwork and enabling future AI-driven features for Phase 10 and Liars Deck variants within the CSC4330 Final Project. Key architectural changes, code quality improvements, and game-mode readiness were delivered to support ongoing product value and faster iteration.
Activity
Loading activity data...
Quality Metrics
Correctness76.2%
Maintainability80.0%
Architecture75.0%
Performance68.2%
AI Usage35.0%
Skills & Technologies
Programming Languages
DartJavaScriptObjective-CPythonSwift
Technical Skills
AIAI DevelopmentAI IntegrationAI LogicAI/MLAPI DevelopmentAlgorithm DesignCode QualityCode ReadabilityCode RefactoringDartDocumentationFlaskFlutter DevelopmentGame Development
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline