Projects
TriageFlow
AI-powered triage empowers nurses with instant, expert-level assistance on ESI assessments using Fetch.ai agents to manage Claude and ChromaDB, ensuring critical patients never wait while reducing nurse burnout. Built with synthetic HL7 FHIR standard patient data for RAG system. Features notification system on mobile responsive UI.
RootsAI
This application helps families navigate government assistance programs using agentic AI. RootsAI maintains conversations that remember users' details across sessions, providing personalized guidance in the user's preferred language to simplify complex government processes. Awarded Best Use of Letta at Diamond Hacks 2025.
Domain Films
In my Software Engineering course, I codeveloped with 4 students a full-stack movie streaming app. The project features both web and mobile interfaces, allowing users to browse, search, get recommended, and stream movies and shows seamlessly across devices.
Live Aid
Comprehensive financial impact dashboard that visualizes the economic consequences of displacement in conflict regions. Key features include interactive map visualization, economic loss estimation, predictive modeling, and AI based resource allocation recommendations. Awarded Wolfram Alpha and vly.ai prizes at Hacktech 2025.
Carbon Closet
A gamified thrift e-commerce platform that streamlines buying, selling, and donating vintage clothes. It aims to save users time while encouraging sustainable fashion through an engaging token and gacha reward system. Won 3rd at Broncohacks 2025.
Breast Cancer Detection
In my Machine Learning course, I developed a 4-layer convolutional neural network for breast cancer classification using histopathological images from the BreakHis dataset. The model achieved 89.3% accuracy and 94.4% precision in distinguishing malignant from benign tumors, significantly reducing false negatives from 250 to 56 compared to a 3-layer architecture.
UAV Obstacle Avoidance
Worked on the LiDAR team among a group of 30 students to compete in the SUAS competition. Researched and developed an algorithm to convert PointCloud2 data into a set of closest obstacle points that a Pixhawk can consume via MAVLink messages.
Experience
| COMPANY | POSITION | DATE |
|---|---|---|
Cal Poly Pomona Pomona, CA | ML Researcher Dr. Korah | 09/2025 - Present |
FOX Century City, CA | Software Engineer Internship | 09/2025 - 11/2025 |
Neweggg Diamond Bar, CA | Software Engineer Internship | 06/2025 - 08/2025 |
Cal Poly Pomona Pomona, CA | UAV Researcher Dr. Bhandari | 09/2024 - 05/2025 |
Software Engineering Association Pomona, CA | Frontend Developer Club Member | 06/2023 - 05/2024 |
Magikid San Marino, CA | Robotics Coach Part-Time | 02/2023 - 08/2024 |













