AI strategist & 2x founder

Bringing AI into real-world operations.

A 3D airport with passenger queues, security lanes, and departure gates

An airport in motion.

An interactive study of passenger flow and AI operations.

Explore the airport simulation →

I’m Jei, an AI strategist and 2x founder passionate about bringing AI into the physical world. Most recently, I worked at a physical AI startup, deploying computer vision and multimodal AI solutions in airports.

I’m drawn to the work of understanding how people operate, translating their needs into technical requirements, and helping them use a new product with confidence. My path here started with building a consumer product of my own.

Learning by building

At Carnegie Mellon, where I earned a B.S. in Statistics and a Master’s in Human-Computer Interaction, I founded Romantic Dinings, an AI date concierge service. I led a team of five engineers and designers, working across customer discovery, product development, and partnerships.

In 2024, I joined the Swartz Center’s Startup Incubator for Customer Discovery cohort and became a Top 10 finalist in the CMU Venture Challenge. I continued developing Romantic Dinings through an HCI independent study with Professor Laura Vinchesi, growing the team and bringing people together for a launch event.

Finding my direction in physical AI

After two years working on a consumer product, I wanted to explore a different set of problems. My master’s capstone with the Advanced Robotics for Manufacturing Institute introduced me to manufacturing and robotics organizations. It sparked my conviction that physical and multimodal AI could improve how legacy industries operate.

That conviction brought me to San Francisco to work in physical AI. I owned a computer vision deployment from pilot to production, translating airport stakeholders’ operational needs into system requirements. I scoped camera coverage, configured the system, and worked with engineering to troubleshoot deployment issues and validate passenger wait-time outputs against ground truth. Through frontline training and a repeatable rollout process, I helped bring live wait-time visibility across multiple checkpoints and supported the account’s expansion.

What excites me is staying close to both the technology and the people using it. I enjoy customer conversations, untangling deployment challenges, and helping teams see how AI can support their work. I want to keep exploring that opportunity across physical AI and intelligent agents in legacy industries.

Projects.