cv
Contact Information
| Name | Nemanja Bartolovic |
| Professional Title | Computer Graphics Software Engineer |
| nemanjabartolovic@gmail.com | |
| Location | Zurich, |
| Website | https://fallenshard.github.io |
Experience
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2021 - Present Zurich, Switzerland
Senior Staff Software Engineer
Meta Platforms, Reality Labs
real-time rendering, neural rendering, performance optimizations, cloth simulation
- Tech lead for real-time neural graphics and novel representations, coordinating work across multiple teams and organizations to ship research ideas into production.
- Spearheaded a company-wide, unified photorealistic real-time renderer for VR environments and digital avatars via modern neural rendering. Designed and co-developed components across the full vertical stack (artist tools, game engine integration, evaluation pipelines, core rendering systems), and mentored 10+ engineers and researchers in real-time rendering.
- Shipped Meta Horizon Hyperscape, a VR app showcasing photorealistic environments via Gaussian splatting.
- Reduced ML training costs by several million dollars annually by optimizing CUDA kernels and training pipelines for large-scale 3D reconstruction of digital avatars.
- Scaled high-fidelity cloth simulation and rendering for digital humans, leading components on CPU (SIMD) and GPU (CUDA) as well as real-time neural ML deformers (Vulkan, PyTorch) running on VR devices.
- Built several cross-platform computer graphics libraries and tools used by dozens of internal teams (acceleration structures, Vulkan abstraction layer, GPU profiling, Gaussian splatting runtime).
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2020 - 2021 Zurich, Switzerland
Software Engineer
Daedalean AG
real-time rendering, machine learning, flight simulations
- Developed reliable autonomous piloting systems for aircraft using vision-based methods.
- Built a cloud-based rendering and simulation service generating large-scale multi-view aerial synthetic data for multiple internal teams.
- Improved the detect-and-avoid system by scaling training infrastructure, implementing sophisticated data augmentation (TensorFlow), and safety-critical testing.
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2019 - 2020 Zurich, Switzerland
Research Assistant
ETH Zürich
scientific visualization, flow analysis, dimensionality reduction, machine learning
- Developed novel techniques for dimensionality reduction, topology, feature extraction and visualization of high-dimensional flows and dynamical systems, using nonlinear optimization, machine learning and variational calculus.
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2017 - 2019 Zurich, Switzerland
Rendering Engineer
Kapanu AG
real-time rendering, software architecture, geometry processing, inverse rendering
- Shipped IvoSmile, a mobile AR try-on tool for dentists that aids in communicating dental prosthetic treatments.
- Developed an efficient mobile-first software architecture (iOS, Android), a cross-platform real-time rendering system (OpenGL), optimized performance and built several geometry processing algorithms for dentures. Conducted R&D on rendering, machine learning and physical lab design for capturing dental materials.
Education
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2015 - 2017 Zurich, Switzerland
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2011 - 2015 Nis, Serbia
Publications
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2025 Hardware-Rasterized Ray-Based Gaussian Splatting
CVPR 2025
Co-developed a novel rasterization-based Gaussian splatting algorithm that minimizes projection errors in high field-of-view settings like VR rendering.
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2025 SqueezeMe: Mobile-Ready Distillation of Gaussian Full-Body Avatars
SIGGRAPH 2025
Developed a method to animate and render multiple digital human avatars in real-time on commodity VR hardware.
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2020 Phase Space Projection of Dynamical Systems
EuroVis 2020
Developed a flow and curvature-preserving dimensionality reduction technique for trajectories in high-dimensional dynamical system phase spaces. One of the best papers with Honorable Mention Award.
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2017 PhysicsForests: Real-Time Fluid Simulation Using Machine Learning
SIGGRAPH 2017
Implemented rendering techniques used to visualize fluid simulations which were initially developed during my Master’s thesis, as well as improvements to the core simulation framework.
Talks
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2025 Gaussian Splatting: Ready for Standardization?
SIGGRAPH 2025
Described the state of Gaussian splatting at Meta and outlined practical forward-looking file format considerations.
Skills
Patents
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2023 Method for Aligning a 3D Dentition Model to a Face Image (US 11,544,861)
Ivoclar Vivadent AG
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2022 -
2022 Dental Model Attributes Transfer (US 11,244,519)
Ivoclar Vivadent AG
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2022 Rendering a Dental Model in an Image (US 11,213,374)
Ivoclar Vivadent AG
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2021 Rendering of Dental Models (US 11,083,552)
Ivoclar Vivadent AG
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2021 Dental Design Transfer (US 10,980,621)
Ivoclar Vivadent AG
Languages
Projects
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Crisp
Personal renderer — rasterization and ray tracing with a Vulkan backend.
- A personal renderer for experimenting with new ideas and algorithms in the domain of real-time rendering (rasterization and ray tracing) with a Vulkan backend. Built and maintained in my free time.