TradeSim

A full-stack paper trading platform where users can simulate real stock market investing with virtual currency, live market data, and multi-portfolio management

ReactSpring BootAWSMongoDB
  • Developed full-stack architecture with React/TypeScript frontend and Spring Boot backend
  • Implemented OAuth integration for seamless user authentication and account management
  • Deployed scalable infrastructure on AWS EC2 with MongoDB cluster for efficient data handling

LeafAI

An AI-powered web app that identifies leaf species from user-uploaded images using a custom-trained TensorFlow model, with user history tracking and full cloud deployment

ReactFlaskTensorFlowAWSMongoDB
  • Built Sequential machine learning model achieving 86% validation accuracy in leaf species classification
  • Integrated AWS S3 for secure image storage and retrieval with MongoDB for data management
  • Created responsive React/TypeScript frontend with Flask backend for seamless user experience

Wordle Solver

A Python algorithm that solves Wordle in an average of 3.67 guesses using letter frequency analysis

PythonAWS
  • Implemented recursive algorithm analyzing letter frequencies and positions for optimal guessing
  • Achieved average of 3.67 guesses per game through systematic solution refinement
  • Optimized performance through efficient data structures and algorithmic design patterns

Monopoly

A multiplayer Monopoly web game with full gameplay mechanics

ReactDjangoAWS
  • Developed comprehensive multiplayer game logic with property management and trading systems
  • Built interactive React/TypeScript frontend with real-time game state updates
  • Deployed Django backend on AWS EC2 for scalable multiplayer game hosting

Analyzing Relationships between Chocolate's Cacao and Rating

A linear regression analysis of chocolate bars exploring the relationship between cocoa percentage and rating

RData Analysis
  • Performed statistical analysis on 2,600 chocolate ratings to identify correlations
  • Applied Linear Regression modeling to determine cocoa percentage impact on ratings
  • Visualized findings using R's data visualization libraries for clear insight presentation

Minesweeper

A command-line Minesweeper game built in Haskell using functional programming principles.

HaskellBash
  • Leveraged Haskell's functional programming paradigm for elegant game logic implementation
  • Designed CLI-based interface with intuitive command structure for seamless gameplay
  • Implemented recursive algorithms for mine detection and board state management