Johan's Linkpage

Hi there, I'm Johan Boekhoven 👋

I am a (Freelance) Full Stack Developer, Pipeline Technical Director & Technical Artist with many years of experience in Ar/VR, VFX🔥and web and pipeline development 🛠️ for visual pipelines. I love bridging the gap between art and technology, creating seamless and efficient workflows for various types of production, like VFX, AI, automated processing and avatar centered workflows.

Please feel free to contact me for any inquiries or collaborations.

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Available Skills
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Skills
Python
Python FastAPI
Docker
Houdini Processing
Houdini Rigging
Houdini Vellum
JAMStack webdev
AI
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Rigging
SQL
Zbrush
Zbrush Scripting
Blender
Blender Scripting (python)
Maya
Maya Scripting (python/mel)
3dsMax
3dsMax scripting (Maxscript/Python)
Adobe Scripting
Pipeline
Ftrack
Flow/ShotGrid
Fashion
Clo3d
Marvelous

I have a very inquisitive mindset, with a 'production first' development mentality.

Featured Projects
Project Snapchat
Snapchat
Python/FastAPI
Houdini/Processing
Zbrush
Adobe
Pipeline

  • Design and implementation: A full-stack microservice architecture (Python/FastAPI, PostgreSQL, Houdini, Next.js / Bun) for automated 3D content validation, deployed within Docker containers.
  • Solution Impact: improved time spend on QA from many hours to just minutes waiting for feedback. Significantly improving artists confidence on getting their worked approved for production.

Project Yokai
Yokai
Python
Houdini/Vellum
Pipeline
Fashion/Clo3d
AI

  • AI-Driven 3D Processing: Contributed to the development of 3D processing routines incorporating AI-generated artifacts for fashion applications. Working closely with the AI engineers to enhance the processing.
  • Pipeline Management: Managed the 3D avatar and clothing pipeline, ensuring efficient processing of digital clothing content within a multi-stage workflow (Python/Celery on Amazon Cloud).
  • Efficiency Gain: Streamlining the digital clothing workflow, reduced setup and simulation and rendering time from 2+ hours to 15 minutes.

Project Maps
Reblika Labs
JAMStack webdev
Python/FastAPI
Houdini/Rigging
Docker
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  • Challenge: Addressed the challenge of streamlining already rigged characters, automatically re-rigging for new body morphology.
  • Solution: Developed an automated rigging pipeline with a client-facing API, reducing manual effort and turnaround time.
  • Technologies: Utilized Python, Houdini, and Streamlit to build the complete system.
  • Security: Implemented secure remote processing using tunnels to protect client data and ensure reliable access.
  • Impact: Automated the character re-rigging and weighting workflow, leading to a significant time saving, from 1 hour to 30 seconds per character.


For a more comprehensive list of projects and work, please visit LinkedIn
© Copyright 2025 by Johan Boekhoven.