Visualization that creates value. I don't just visualize forms — I visualize progress.
Learn MoreCombining the precision of CAD, the freedom of CAS, and the impact of high-end visualization to create immersive digital twins and concept experiences for the automotive industry.
Over 10 years of experience in Audi Exterior Design.
All projects are subject to confidentiality.
The visuals shown are AI-generated placeholders that symbolically represent real projects carried out at Audi.
Alias modeling across all design milestones up to final Design Freeze. Specialized in hybrid modeling workflows combining Bézier surfaces, Sub-D, and polygonal methods. Extensive experience in data integration and conversion between formats such as IGES, ICEM, STEP, WIRE, and BLEND.
Responsible for high-fidelity visualization throughout the concept phase — not only for single transportation design studies, but also for multi-variant model evaluations from different designers. Transitioned from Autodesk VRED to Unreal Engine to achieve cinematic real-time rendering, variant control, and visual precision.
Contributed to the Audi F1 Showcar project in the development and visualization of the official livery — merging Class-A modeling discipline with advanced Unreal Engine visualization pipelines.
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Watch on YouTubeAll published Audi F1 shots were based on UE visualizations created in our Audi Exterior Design department.
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Watch on YouTubeAudi F1 livery developed fully digital — CAD precision, UE visualization, and materials matched 1:1 to the real showcar.
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Watch on YouTubeAudi Vision GT — from sketch to Alias model, livery and data handoff to Sony (Gran Turismo).
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Watch on YouTubePre-vis created while the real car still existed only as a 1:1 clay model — aligning design intent early.
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Watch on YouTubeConcept from designer sketches, modeled collaboratively in Alias and visualized in VRED — full VISU pipeline.
Artificial intelligence accelerates ideation — but efficiency without precision leads to chaos. Tecbuster bridges that gap by combining the raw generative speed of AI with the human discipline of Class-A surfacing and structured CAD processes.
Where AI ends – Tecbuster begins.
Economy of Design means transforming fast, iterative ideas into manufacturable digital twins — merging design, data management, and visualization into one coherent workflow that saves time, money, and ensures excellence.
Whether you’re in Munich, San Antonio, or Tokyo — precision doesn’t depend on location. Tecbuster connects global teams through a secure and structured collaboration platform, where CAD, visualization, and data integrity coexist seamlessly.
Just like this conversation — human creativity and machine intelligence meet in one shared digital workspace.
The result: synchronized development, faster decision cycles, and zero friction between design intent and data flow. Tecbuster.net becomes the meeting point between people, process, and precision.
Final output is visible. Real effort sits in stabilizing, structuring, and preserving decision-ready data.
Challenge: Incomplete CATPART sets and unstable references.
Actions: Validate package integrity, map dependencies, isolate missing elements.
Why critical: Establishes the technical baseline for every downstream decision.
Without this step: Later phases inherit instability and rework.
Constraint: Source geometry is incomplete or topologically inconsistent.
Actions: Reconstruct Class-A intent, close continuity, and stabilize update paths.
Why critical: Maintains progress without waiting for upstream data loops.
Without this step: Variants and visualization fail under iterative updates.
Challenge: Variant surfaces lack clean structure and naming discipline.
Actions: Segment geometry, assign layer architecture, prepare livery-ready hierarchy.
Why critical: Converts modeling data into controllable variant assets.
Without this step: Every variant requires manual correction.
Constraint: Multiple options must coexist within one update-sensitive scene.
Actions: Implement variant graph, parameter naming, and robust material switching.
Why critical: Enables reliable comparisons for design and engineering reviews.
Without this step: Decision support becomes inconsistent and slow.
Challenge: Visible output can hide the engineering work that makes it reliable.
Actions: Compose final views, verify clarity, deliver review-ready packages.
Why critical: Translates technical depth into actionable review outcomes.
Without this step: Correct data exists, but decisions are delayed.
Intervention Points
Tecbuster operates in the structural core of the pipeline, before final output.
Result of phases 1–5
Where the effort actually accumulates across the workflow.
Across phases 1–4, most effort is spent on stabilization, structuring, and variant readiness.
This distribution is derived from the workflow above.
Rendering is the visible endpoint, not the primary workload.
Where time is actually spent
What is visible
Rendering, final image, polish.
Data sorting, surface rebuild, Alias restructuring, variant logic, update compatibility.
The major workload sits in cleaning incomplete engineering data, rebuilding missing surfaces, structuring Alias layers for livery variance, and keeping CAD links update-safe.
You do not spend time creating the image.
You spend time making the image possible.
Visualization is decision support, not only output.
Secure and isolated workspace. Built for controlled data exchange.
Hosted in Austria under EU law.
