Projects
A collection of projects spanning spatial computing, machine learning, and immersive technologies.
Highlighted Work
VR Healthcare Training Simulation (Winner, MIT Hackathon)
Hackathon WinnerBuilt a VR healthcare simulation on the Apple Vision Pro, enabling CPR and first aid training and pioneering SharePlay integration for collaborative learning with iPhone users. Showcased to The Venture Reality Fund, where the concept was acquired and carried forward.
Supreme Court Case Prediction (1st Place, Stanford Class of 500)
Stanford CS109 WinnerBuilt a Bayesian court case prediction framework that achieved 73% top-3 accuracy across 11 possible Supreme Court case outcomes by leveraging observable case attributes. Featured as a winner and future example project in Stanford’s CS109 course (selected from 500 students).
SynchroSound: Facial Expression Based Song Selection
Personal ProjectBuilt an iOS app that deciphers facial expressions to recommend mood‑matching songs, integrating SwiftUI, UIKit, and SwiftData with Google Cloud Vision and Spotify’s Web API. Processed 500+ test images across multiple emotions to validate recommendations, improving user‑song mood alignment accuracy by 82%.
Medical MRI Image Reconstruction (View Paper)
Deep Learning ResearchEngineered AI‑based models for medical MRI image reconstruction with PyTorch, cutting required scan times by 55–70% while preserving high‑quality images, and co‑authoring a research paper on the work. Enhanced image quality beyond baseline deep learning models, reducing reconstruction error by ~60% and significantly improving detail preservation.
AgenTeX: Image to LaTeX (Winner, AgentOps Hackathon)
Hackathon WinnerEngineered an AI agent with OpenAI’s Agents SDK to convert handwritten math to LaTeX with 91% accuracy. Featured as an AgentOps hackathon winner, with board member recommendation for commercial launch.
Music Recommendation System (View Paper)
Machine Learning ProjectDesigned a music recommendation system using SVD and PCA to analyze over 60 audio features from 7,000 Spotify songs, uncovering patterns in sound beyond traditional metadata. Implemented feature projection to identify similarities across 35 combinations of musical features.
TreeCycle
Sustainable forestry management system leveraging IoT sensors and machine learning to optimize tree lifecycle monitoring and carbon footprint tracking.
MIRA
Advanced computer vision system for real-time image recognition and analysis. Implements state-of-the-art deep learning models for visual perception tasks.
Neural Housing Predictor
Machine learning model achieving 35% accuracy improvement in property valuation through advanced data processing and neural network architecture.
LZW File Compression Algorithm
High-performance file compression algorithm reducing file size by ~50% relative to standard methods, enabling faster and more efficient file transfers.
Heap Allocator – Custom Computer Memory Management System
Developed an algorithm that optimizes computer memory utilization (i.e., freeing up storage by 20% across 100,000 requests). Implemented custom malloc, realloc, and free functions in C for heap-level memory management.
Shell - Custom Unix Shell Implementation
Built a command-line Unix shell that allows key tasks like file manipulation and redirection. Enhanced the shell to run 10+ programs at once while testing across 100+ real-world scenarios.