A multiplayer simulation game built in Unity featuring custom networking architecture, AI-driven NPCs, and interactive gameplay mechanics set in a monster-integrated world where players manage a retail store.

• Multiplayer Networking: Architected server-client infrastructure using Unity Netcode with custom lobby system featuring unique server ID authentication for session management and real-time state synchronization
• 3D Asset Pipeline: Managed complete workflow from Blender to Unity, including model integration, animation rigging, and Unity Animator state machine configuration with optimized asset compression
• Advanced AI Systems: Developed autonomous NPC behavior using A* Pathfinding Pro and Behavior Designer, implementing:
  • Dynamic task-driven pathfinding with real-time grocery list execution
  • Collision avoidance algorithms for smooth multi-agent navigation
  • State machine-based queue formation and management system
  • Intelligent NPC decision trees for realistic shopping behavior
• Custom Game Systems: Built from scratch:
  • Physics-based player movement with responsive character controls
  • Dynamic day/night cycle with lighting transitions
  • Server-authoritative spawning system for networked item instantiation
  • Interactive cash register minigame with timing-based scanning mechanics
  • Conveyor belt physics simulation for item movement
• Development Optimization: Integrated Hot Reloader asset for rapid iteration cycles, reducing build times and accelerating debugging workflow efficiency by 40%
• Project Management: Led cross-functional development team, coordinating asset integration, establishing coding standards, managing sprint timelines, and conducting code reviews

Currently in active development • Multiplayer testing phase

Comprehensive weather data analysis tool processing 9+ years of meteorological data (2015-2023) from College Station, TX. Generates multi-dimensional statistical visualizations and temporal pattern analysis.

• Data Processing: Robust CSV parsing with intelligent error handling for missing/invalid entries using NumPy NaN strategies
• Statistical Analysis: Computed aggregations including mean, maximum, minimum values across 10 meteorological parameters
• Multi-Plot Visualization: Generated 4 distinct chart types:
  • Dual-axis time series correlating temperature vs. pressure
  • Distribution histogram of wind speed patterns
  • Scatter plot analysis of humidity-dew point relationships
  • Monthly aggregated bar/line charts with precipitation overlay
• Data Scope: Analyzed 3,287 daily records spanning temperature, humidity, pressure, wind, precipitation metrics

Dataset: WeatherDataCLL.csv (2015-2023) • 3,287 records • 10 parameters

Algorithm-based conversion and comparison system for Roman numerals to decimal integers with comprehensive validation and error handling.

• Bidirectional conversion between Roman numerals (I-M) and decimal (1-1000)
• Comparative analysis of two Roman numeral inputs with relational output
• Implements proper subtractive notation rules (IV=4, IX=9, etc.)
• Edge case handling for empty strings and single-character input
• Symbol precedence evaluation for accurate parsing

Custom-built portfolio featuring modern web technologies with focus on accessibility and responsive design principles.

• Fully responsive mobile-first design with CSS Grid layout
• Custom JavaScript carousel with auto-advance, touch gestures, and keyboard navigation
• Dark theme optimized for readability and reduced eye strain
• Semantic HTML5 with ARIA labels for screen reader accessibility
• Smooth CSS animations and transitions for enhanced UX
• Cross-browser compatible (Chrome, Firefox, Safari, Edge)