Projects
Super-Resolution AI (Research Project), University of California Riverside (2023-Present)
- Developed a convolutional neural network (CNN) model for image super resolution.
- Conducted comprehensive data preprocessing and augmentation, utilizing Python and deep learning libraries (e.g., keras, PyTorch) to prepare training datasets.
- Performed experiments to address challenges in super resolution, such as noise reduction, image fidelity preservation, and artifact mitigation.
Number Recognition using Neural Networks, University of California Riverside (2022)
- Developed a Python based neural network for number recognition using weight matrices, bias vectors, and the sigmoid activation function.
- Utilized backpropagation and gradient descent to optimize weights, achieving a remarkable 99.5% accuracy in recognizing numbers from images.
- Successfully preprocessed data, tuned hyperparameters, and achieved robust performance, showcasing a deep understanding of neural network architecture.
Super Dry (FPS video game), University of California Riverside (2023)
- Collaborated effectively within a Scrum framework, contributing to game development with a strong backend focus.
- Leveraged Unity and C# to design and implement 3D models, textures, and animations while ensuring a robust backend structure.
- Conducted impactful playtesting, using my backend expertise to refine game mechanics and enhance the user experience.
- Applied backend optimization techniques to enhance game performance, ensuring scalability and responsiveness in collaboration with the Scrum team.
Reddit Search Engine, University of California Riverside (2023)
- Crafted an efficient Python based web crawler to adeptly download Reddit posts as JSON files, showcasing my backend development prowess.
- Formulated data indexes from the acquired content, skillfully enhancing search efficiency and ensuring rapid access to pertinent information.
- Fused my backend proficiency into a Django web application by seamlessly integrating the search algorithm, creating a user centric interface for browsing and exhibiting Reddit post data.
Stock Recommender, University of California Riverside (2023)
- Utilized Java and NetBeans for creating a robust stock recommender system.
- Implemented a powerful search algorithm to extract information from trusted websites.
- Developed a scoring mechanism to intelligently evaluate data, enhancing the precision of stock recommendations.
- Ensured the interface prioritizes user friendliness, facilitating easy interaction with the stock recommender system.
RM Waitlist App, University of California Riverside (2022)
- Utilized C++ in conjunction with Qt Creator for the development of a waitlist application.
- Employed object oriented programming (OOP) principles to design a robust and complex software architecture.
- Leveraged Qt Creator's capabilities to create an aesthetically pleasing and user friendly interface.
- Implemented robust mechanisms for data handling, storage, and persistence within the waitlist app, ensuring data integrity and reliability.
Smart Backpack, University of California Riverside (2023)
- Led the creation of a Smart Backpack for easy item tracking through a mobile app. Also improved its features using backend skills.
- Developed a tool from scratch to measure item weights using Arduino and sensors. Added Bluetooth for connectivity with smart devices.
- Created a smart algorithm to find missing items based on backpack weight changes, showcasing strong backend expertise.
- Elevated the backend connectivity of the Smart Backpack project, ensuring seamless communication between the app and the tracking system. Implemented optimizations to improve overall performance.