Victor Anderssén
Full-stack engineer + HPC / GPU compute
I build reliable web platforms and GPU-heavy research tooling. My background spans full-stack delivery, Linux automation, and high-performance computing with a focus on performance, correctness, and maintainability.
Based in Finland · Open to full-stack, backend, and HPC/GPU roles (remote from Finland).
Selected impact
Proof I can ship and own outcomes
- Converted CUDA workloads to HIP so the same code runs on AMD GPUs, with comparable performance across vendors.
- Built a 3D viewer for a 100k + 100k galaxy dataset (Raylib/OpenGL) and separately optimized a GPU kernel-based course project (HIP/CUDA) to cut runtimes significantly.
- Designed Linux-first automation for hybrid environments (on-prem + co-lo + cloud) and contributed to ISO/IEC 27001-aligned security controls.
Core strengths
- End-to-end ownership
- Performance + correctness
- Pragmatic delivery
- Automation + reliability
About & interests
I'm Victor — computer engineer and master's graduate
I'm a computer engineer and master's graduate with interests in high-performance computing (HPC), parallel and concurrent programming, signal and audio processing, modern web and backend technologies, and game engine architecture. I enjoy building performant, scalable software focused on low-level systems, backend infrastructure, and game development.
Focus areas
- High-performance computing (HPC)
- Parallel and concurrent programming
- Signal and audio processing
- Modern web and backend technologies
- Game engine architecture
Currently exploring
- C/C++, Go
- OpenGL
- GPU computing (CUDA / HIP)
Featured projects
Selected work
HPC Job Observability Service
A microservice for tracking and monitoring HPC (High Performance Computing) job resource utilization with Prometheus metrics export.
- Microservice for tracking HPC job resource utilization
- Exports metrics in Prometheus format for easy monitoring
Galaxy visualization
Visualizing 100k real, 100k randomly distributed galaxies and redshift data with Raylib OpenGL frontend.
- Visualizes 100,000 real galaxies, 100,000 random points and redshift data
- GPU-parallel assignment context: compute 10B pair angles on a GPU
Writing
Latest thinking
Bringing Linux Support to the Laura Game Engine
An accepted open-source contribution that adds full Linux compatibility to the Laura game engine.
Cloning all my GitHub repos faster than the default
A Bash + Git + jq script to fetch every repo I own with submodules, handling pagination and dry-run previews.