Projects

What it is

Lumio is a marketplace designed to help people discover reliable local service providers by transforming informal, word-of-mouth referrals into a more transparent and structured experience. I worked on Lumio as a co-founder, leading both product direction and technical execution from the earliest stages.

What I worked on

• Defined the initial MVP scope and shipped the first version within a short timeline
• Conducted user interviews to understand trust, pricing, and discovery challenges
• Designed and iterated on core workflows including onboarding, booking, and messaging
• Built and refined features based on real user behavior and feedback
• Used lightweight analytics and qualitative insights to guide prioritization and iteration

Why it matters

Lumio taught me how products actually take shape outside of structured environments—where speed, user behavior, and tradeoffs matter more than perfect plans.

What it was

As my senior capstone project, I worked on a system that used historical sensor data to predict when manufacturing machines were likely to fail. The goal was to reduce unplanned downtime and help teams plan maintenance more proactively.

What I worked on

• Helped design a predictive model to estimate time-to-failure and failure type
• Cleaned and structured large sensor datasets for analysis
• Built dashboards to visualize machine health and trends for stakeholders

Why it mattered

This project strengthened how I think about translating complex data into practical, operational decisions.

What it was

CafeCoin Collective is a data-driven application that allows local coffee shops to participate in a shared customer rewards network, helping small businesses compete with larger chains.

What I worked on

• Designed the database schema and relationships for customers, shops, and rewards
• Built backend APIs to support transactions and analytics
• Worked end-to-end across database, backend, and UI development

Why it mattered

This project pushed me to think about systems holistically—from data design to user experience—and how small product decisions affect real businesses.

What it was

I built a WhatsApp-integrated AI assistant to help small businesses automate customer responses and order intake, exploring how AI could work in real messaging environments.

What I worked on

• Designed conversation flows and prompts for common customer interactions
• Built backend logic to handle message routing and responses
• Tested and iterated based on real-world constraints like latency and user trust

Why it mattered

This project taught me how product ideas behave in the real world, where edge cases, trust, and usability matter as much as the technology itself.