My role has covered the full spectrum from early concept development to hands-on prototyping. I’ve designed new interaction models for how a user maintains awareness, receives guidance, and makes decisions in real time. This has required thinking deeply about ergonomics, clarity under pressure, and how to introduce intelligence into a workflow without adding cognitive burden. The work blends physical product design, system behavior, and UX design into a cohesive vision of what an “assistive” tool should feel like — intuitive, trustworthy, and empowering.

Underneath that experience is a technical platform built to support real-time perception and adaptive assistance. The system integrates multiple sensing modalities — including visual and thermal inputs — and uses on-device processing to interpret what’s happening around the user without relying on cloud latency or connectivity. A Jetson-class embedded computer handles image analysis and decision logic, while a lightweight control layer manages responsive servo motion for tracking and stabilization. These components work together to maintain situational awareness, filter noise, and surface only the most actionable insights. The result is a tightly integrated architecture where computer vision, embedded hardware, and interaction design come together to enhance the user's capabilities while remaining unobtrusive and dependable in high-consequence environments.