Projects
Here’s a small collection of personal projects I’ve built over the years, each highlighting my ability to learn quickly across various domains,
along with hands-on experience in full-stack development, product thinking, and user-centered design.
LocationLens.app
I designed and developed a web app to support location search and comparison, building the backend with Node.js and Express with several integrated Google Maps APIs.
The app includes additional configuration to improve search accuracy with filtering, ranking, and an interactive map view. Additionally, I built technical performance and user metrics which are stored in MongoDB for analysis.
🎥 Watch a demo by flipping this card
Supported on desktop and mobile - see more at https://locationlens.appLocationLens Demo
This product solves a problem with current real estate search tools that provide limited information regarding neighborhood amenities.
Birthday Nudge mobile app
I designed and developed a cross-platform mobile app using Flutter and Firebase that reminds users of birthdays and drafts one-click, customizable messages.
Available now on Google Play Store:
Leveraged AI tools like GPT-5 and Claude Code to build features including contacts integration, smart scheduling,notifications, and AI-generated message suggestions.
Integrated freemium consumer payment model to paywall advanced features.
Prioritized privacy and security by ensuring data does not leave user's device.
Event Analytics Dashboard
Developed an analytics platform powered by API-ingested gameplay data to analyze user interactions, including ratio analyses, outlier detection, and longitudinal behavioral trends.
Designed searchable, filterable dashboards and outcome visualizations to surface individual and cohort-level insights for a large online community.
View the live demoEvent Analytics Dashboard
Built with modern data visualization techniques to provide actionable insights from gameplay event data. Features include cohort analysis, trend detection, and interactive filtering capabilities.
Nanoparticle Tracking Analysis
As a team of three, we designed and developed a laser-based nanoparticle tracking system using an optical setup with a custom lens configuration that focused light sheets. The system captured particle motion via a camera and analyzed it using machine learning algorithms for precise size measurements and characterization.
We optimized the signal quality, achieving sub-1% error rates, while developing the device at a fraction of the cost of commercial systems. This project deepened my expertise in optical systems, image capture, and algorithm-driven analysis.
We measured signal performance using a variety of lens configurations to determine the most accurate design. We leveraged both open source algorithms and wrote our own in order to track nanoparticles over time and therefore characterize them. We also had to use a standard microscope camera as part of our optical system.