As a 16 year old Computer Engineering and Business Management undergraduate junior, I've honed my skills in bridging the gap between complex technical theories and their practical applications. My journey has been defined by direct involvement in software engineering, system integration, and data analysis, shaping a path focused on technological innovation. My experience ranges from leading team-based projects with notable companies to tackling independent and freelance ventures. This trajectory has been driven by a deep interest in cross-platform development and emergent computing systems. I'm committed to exploring the frontiers of engineering research, aiming to bring a unique perspective to the dynamic field of technology.
WasHungry aims to reduce food waste and hunger by allowing users to make better
decisions regarding where their food ends up - to those who need it the most. This
patent pending app eliminates the pain points that come with donating, allowing
a simple pick up location. The app allows users, restaurants, farmers’ markets,
and any other food establishments with excess edible surplus to quickly give it
This app currently uses Firebase to store user information and food donation placements to operate. This app also uses algorithms to predict the best recepient of a food donation.View Prototype
MediaPipe offers open-source cross-platform, customizable ML solutions for live and streaming media. Mediapipe can accurately identify hand and face landmarks due to its amazing ML machine learning algorithms. By reading the documentation and experimenting, I have successfully completed a series of demos and have learned to identify hand, face, and pose landmarks. Watch Demo
Slideshow video of AI determining different objects. Watch Demo
As a challenge to myself to develop more advanced ML, I created a mobile application that recognizes sketches and converts them into English words. The app has not been released, but the code is available on Github. Github Repository
This app was a parenting app that allows parents to assign children chores online top help teach kids how to be more responsible and work for rewards. The app will allow for children to login and for parents to add tasks, or create a schedule for the week. More information on Github. Github Repository Google Play Listing
Using a trained neural network of nearly 24,000 images, this app can detect the presence of fruit in an image (i.e. an orange, banana or apple). The app can be used for differentiating between various fruit and vegetables using pre-trained models.
Moving beyond a front-end web developer, I decided to invest in learning PHP and SQL. I utilized XAMPP and PHPMyAdmin technologies to implement a local database that would track my posts in my CMS blog. I also learned how to query data and search through a database to respond with a stream of posts.
In effort to expand my online freelancing services, I decided to colorize videos using DeOldify script, a TensorFlow program that uses AI to recreate scenes of a video. I then upload the video to Adobe Premier and enhance it further. Watch Demo
Implementing a Neural Network from scratch is challenging, but also fun and very rewarding. As an introduction to Machine Learning and training Neural Networks, I built an app called "Cat or Dog?", which is able to recognize if an image contained a cat or a dog Watch Demo