About Me
I’m a Technical Artist at Carnegie Mellon University’s Human Sensing Lab, working in real-time rendering, synthetic dataset generation, procedural asset development, and pipeline automation using Unreal Engine, Maya, and Python.
Professional Experience
CARNEGIE MELLON UNIVERSITY | Technical Artist
Pittsburgh, USA | Aug 2023 – Present
- Built synthetic datasets and cinematic sequences in UE5 using optimized 3D environments with Lumen, Path Tracing, and custom materials; integrated high-quality textures from Substance Painter.
- Created and animated 3D characters and environments in Maya for synthetic data, including real-time hair (strands, cards, physics), rigging, and skinning for humans.
- Developed procedural asset tools and FX particles in Houdini; scripted a Python-based UE5 renderer for automated training image generation.
- Collaborated with engineers to test and integrate emerging technologies, supporting algorithm training and Gaussian Splatting pipelines.
SECPHO | Technical Artist
Barcelona, Spain | Mar 2020 – Jul 2020
- Created virtual environments in Unreal Engine to support the development of an online webinar platform.
- Modeled and textured 3D assets, ensuring seamless integration into the engine while maintaining visual consistency across the platform.
Education
- Master of Entertainment Technology – Carnegie Mellon University (2024 – Present)
- Bachelor's in Design, Animation and Digital Art – ENTI-UB (2020 – 2023)
- Synthetic Dataset Generation for Training Data (Bachelor’s Thesis with Carnegie Mellon University)
- Advanced Vocational Qualification in 3D Animation and Interactive Environments – ENTI-UB (2018 – 2020)
Papers
- Multi-view basketball dataset (SIGGRAPH 2025 Journal Track)
- Visual Content Production (SIGGRAPH Asia 2024)
Skills
- Unreal Engine 5, Maya, Houdini, Substance Painter, Blender, Python
- Procedural asset creation, real-time rendering, synthetic dataset generation
Contact
📧 ruizollemarc@gmail.com
💼 LinkedIn Profile
📍 Pittsburgh, USA
Download my CV (PDF)