Hi! I am Rounald
I'm a passionate Full Stack Web Developer based in Toronto, Ontario, with expertise in the MERN stack. Beyond my proficiency with MongoDB, Express, React, and Node.js, I also bring to the table hands-on experience with Python. I craft dynamic and responsive web solutions tailored to your needs. Currently on the lookout for a full-time developer position, I'm eager to contribute to a team that values innovative thinking and top-tier web development. Let's build something great together!
Tech-Ommerce
Tech-Ommerce is an e-commerce destination tailored for technology enthusiasts and gadget lovers. Built with a robust combination of MongoDB, React, Next.js, Stripe for secure payments, and Styled Components for a sleek, responsive interface, it offers a seamless online shopping experience. Customers can navigate through an extensive selection of tech products using a versatile search bar, by categories, or through a highlighted section of new arrivals. To edit selection of items on the site, I have created an admin application that interacts with the database. The site’s features include:
- User accounts for tracking favorite items and purchase history
- Option to checkout as a guest for users on-the-go
- Ability to add and remove items from the cart with ease
- Streamlined purchase process with Stripe integration
- A ‘save info’ option for quick and effortless future checkouts
StockStrategist
StockStrategist is a dynamic web application designed for both novice and experienced investors looking to make informed stock market decisions. It combines the core technologies of HTML, CSS, and Bootstrap for front-end development, with jQuery for interactive functionality, and Plotly for advanced data visualization. The application runs on a Django framework, ensuring a strong, scalable back-end with data managed by SQLite. Stock analysis is enriched with real-time data from yFinance, offering users comprehensive insights into stock performance. Features of StockStrategist include:
- Personal account creation for a customized experience.
- Real-time stock lookup to stay updated with market changes.
- Option to favorite stocks, enabling users to monitor selected stocks closely.
- Historical stock data visualization over the past decade via line and candlestick graphs.
- AI neural network predictions for short-term stock price movements.
- Access to long-term prediction strategies for actionable buy, sell, or hold recommendations.
Unfortunately, due to a recent yfinance library update, some of the functions of the library are temporarily down. For that reason, I will not be linking the live website since the project does not currently work. I hope the video provides enough of a demonstration. Thank You!
Facial Recognition System
This application is a facial recognition system designed to deliver high-precision identity verification. This powerful system integrates OpenCV's computer vision capabilities, the face_recognition library, and PySimpleGUI for a user-friendly interface. With a 99% accuracy rate, this app excels in identifying 'known' users by cross-referencing facial features with a database of reference images and individual information. Key Features:
- Rapid and accurate identification against comprehensive data of users.
- Utilizes sophisticated algorithms for live face detection and image comparison.
- Simple and intuitive GUI for easy operation and quick access to system features.
ExerSearch
ExerSearch is a fitness application designed to help both beginners looking to workout and some more advanced fitness enthusiasts find what they are looking for. This full-stack application uses MongoDB, Express.js, React, and Node.js, creating a powerful and seamless backend and frontend experience. The interface is creatued using Photoshop and Material UI for a user-friendly design, while the integration with Rapid API imports exercise details and related YouTube videos. Key features include:
- Customizable exercise search by category and targeted muscle group, equipment, or specific exercise
- Extensive exercise database with practical examples and details
- Embedded YouTube video content for visual learning and exercise demonstration
- Discovery of similar exercises for varied workout routines
- Responsive layout for consistent user experience across devices
InteracInn
InteracInn is a minimalist social media clone that brings to life the essential features of digital networking. Built on a robust full stack using MongoDB, Express.js, React, and Node.js, it delivers a responsive and intuitive user experience, crafted with Material UI and managed by Redux Toolkit. Some features are:
- Account creation with secure authentication
- Real-time posting and content sharing capabilities
- Ability to add and manage friendships
- Photo upload feature to share visual content
- Interactive comment and like system to engage with others
- Responsive design for seamless use across various devices