My Projects
From FDA-regulated medical devices to homelab infrastructure

Q-Life System (QLS) — FDA Class II Medical Device Platform
A comprehensive software platform for continuous physiological monitoring, supporting real-time collection of ECG, respiratory rate, skin temperature, activity, sleep, and social engagement data from a wearable medical device. Designed to support 1,000+ concurrent users, 500+ data packets/second, and 7-year data retention for FDA audit requirements.
Technologies

Multi-Sensor Android Research App
Android application collecting physiological data from 10+ body sensors for biomedical research at SDSU Research Foundation. Custom data parsing pipeline for real-time ingestion and downstream research analysis.
Technologies

Personal Homelab Infrastructure
Self-hosted server infrastructure running network services, monitoring, and experimental deployments. Deployed and manage a virtualized environment hosting over 10 different services. Configured secure VPN tunnels, NAS server with ZFS for data redundancy safeguarding over 2TB of files.
Technologies

Kubernetes Cluster System
Implemented a high-availability Kubernetes cluster using NixOS and K3s across a 3-node Mini PC setup. Ensured robust service availability and network load balancing for containerized applications with MetalLB. Managed the deployment and automated scaling of 12 containerized applications.
Technologies

Smart Pet Bowl - Team P.A.W.S
Senior Design project that enhances pet health monitoring by automating water intake tracking. The system uses an ESP32, Grove AI Vision Module with custom YOLOv8 model, ultrasonic sensors, and Raspberry Pi Zero W to detect, identify, and quantify pet hydration. Features real-time pet recognition, water consumption tracking, and web dashboard for monitoring.
Technologies

Stock Management Mobile Application
Developed a cross-platform stock management app for iOS and Android, currently in beta with over 50 users. Integrated near-field communication (NFC) technology to streamline item tracking, reducing inventory logging time by 60%. Designed an intuitive and accessible user interface, focusing on ease of use for non-technical end-users.