In March 2026, I collaborated with QUT to produce a series of technical visuals for a cutting-edge bio-tech sensor integrated directly into performance clothing. The project centered on the sensor's ability to collect high-fidelity data in real-time, requiring visual collateral that showcased precision with high-performance aesthetics.

I developed two distinct narratives for the technology: a ruggedized application for soldiers in the field and a streamlined version for elite athletes performing at the highest level. Using Blender for modeling and Redshift for rendering, I focused on capturing the material contrast between technical fabrics and the integrated hardware. This project also challenged me to integrate AI into my workflow in new ways, leveraging it to rapidly compose the product into diverse, realistic contexts that would have traditionally required extensive environment building.

The result is a suite of visuals that demonstrate the sensor's versatility across different sectors. By combining traditional 3D pipelines with AI-driven composition, I was able to showcase how this bio-tech innovation functions in both high-stakes military operations and the pursuit of athletic excellence.