Manav Jethani

Teaching automotive visualization using VRED Professional, Unreal Engine 5, and Photoshop post-compositing. AI-assisted production techniques are embedded throughout, exposing students to modern, time-efficient pipelines including rapid content variation, AI-accelerated rendering, and real-time environment development as industry-standard practice.

• Create high-fidelity automotive visuals and real-time product experiences across design, modelling, engineering, and presentation workflows. • Use Autodesk VRED, NVIDIA Omniverse, Unreal Engine, and AI-enabled workflows to connect CAD data, product configuration, materials, lighting, scene direction, and premium brand storytelling. • Developed a privacy-conscious AI rendering workflow focused on local control, high-fidelity output, and more efficient creative exploration. • Developed a sketch-to-

Hosted an automotive-design interview platform focused on creative leadership, emerging technology, design philosophy, and the future of mobility. • Conducted long-form conversations with senior automotive design and creative-technology leaders. • Built a network across OEM design, advanced design, visualization, creative technology, and education. • Translated complex design, technology, and innovation topics into accessible conversations for emerging automotive creatives. • Developed practical

Developed Commercial Innovation framework during thesis research: a strategic methodology connecting high-fidelity automotive visualization to measurable brand engagement outcomes. Awarded 1st place at the Ferrari Sketch Battle and 1st place in the Bertone Hyper-Crossover Concept for styling and te