Software Developer

Just graduated from Toronto Metropolitan University with a Bachelor of Science Honours in Computer Science. I have had the opportunity to dive into many different fields, some of which include: Full-Stack Development, Robotics, Machine Learning, A.I., and Cloud Development

About Me

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Portfolio Work

Some of the cool projects I've worked on. Click the pictures to visit.

Scheduling Application (React, Next.js, MongoDB, Tailwind CSS)

Built a dynamic and responsive Next.js frontend with React and Tailwindcss, optimizing UI performance and reducing load time by 40%.
Developed a full-stack freelancer scheduling application using Next.js and MongoDB as the database solution, enabling real-time booking and reducing scheduling conflicts by 40%.
Implemented Stripe for secure payment processing, enabling freelancers to monetize their scheduling services and receive payments directly through the platform.
Implemented a secure authentication system using Next-Auth.js with secure login and registration options, including a Google sign-in feature to streamline the onboarding process for new users.

Real Estate and Facebook Automation Script (Python, Selenium)

Developed a Python script using Selenium to scrape data from a real estate website, extracting detailed property listings including address, property type, price, and amenities.
Automated the process of posting listings to Facebook Marketplace, utilizing a proxy server and reducing manual input time by 90%.
Designed and built a user-friendly web interface for streamlined data entry, enhancing user experience, and reducing workflow bottlenecks.

Engineered a machine learning pipeline using LSTM neural networks to forecast stock prices based on historical market data.
Automated data collection and preprocessing using Python and Yahoo Finance API to streamline the training process.
Improved prediction accuracy through hyperparameter tuning and model optimization, reducing error in stock price forecasts.
Deployed predictive scripts for real-time closing price forecasts, enhancing decision-making for financial analysis.

Stock Price Prediction System (Python, Tensorflow)

Developed a Spring Boot REST API that queries a PostgreSQL database for player, team, and game statistics, returning search results in under 200 ms.
Designed a clear PostgreSQL schema (players, teams, seasons, game logs) and used Spring Data JPA to keep SQL code readable and maintainable.
Built a React front-end featuring an auto-complete search bar and responsive stat cards so users can instantly view career, season, and per-game metrics..