Nikolaus West is a founder and CEO with 13 years of hands-on experience building computer vision, sensor-fusion, and edge-AI products, now leading Rerun — an open-source visual debugging platform for Physical AI. He combines deep technical expertise (Rust, Python, 3D vision, RGB-D systems) with product and go-to-market experience from startups to enterprise labs, having shipped solutions for retail, AR, robotics, and financial inclusion. At Rerun he still contributes code—improving Python SDKs, vectorized rendering, and multimodal visualization examples for a Rust-based core—bridging developer ergonomics and high-performance systems. His background spans research-quality 3D reconstruction to shipping production recommendation engines and mobile vision on low-cost devices, reflecting a pragmatic focus on making complex sensor data easy to understand. Based in Stockholm, he pairs an engineering education (MSc Applied Physics & EE, Stanford study) with repeated founder‑CEO roles, trading technical depth for clear product narratives that accelerate real-world AI adoption.
13 years of coding experience
8 years of employment as a software developer
High School Natural Sciences, High School Natural Sciences at Kungsholmens Gymnasium
Business Studies, Business Studies at Cass Business School
Master of Science (M.Sc.) Applied Physics and Electrical Engineering, Master of Science (M.Sc.) Applied Physics and Electrical Engineering at Linköping University
Electrical Engineering, Electrical Engineering at Stanford University
Visualize streams of multimodal data. Free, fast, easy to use, and simple to integrate. Built in Rust.
Role in this project:
Full-stack Developer
Contributions:158 reviews, 70 commits, 81 PRs in 7 months
Contributions summary:Nikolaus primarily contributed to the Python example within the Rerun project, focusing on enhancing its capabilities for visualizing multimodal data. Their work involved refactoring and vectorizing rendering, implementing data generation for performance testing, and integrating fake data for RGB and point cloud representations. Furthermore, the user addressed issues in the Python SDK bridge, specifically related to numpy views and color conversions, contributing to the robustness of the visualization tools. The user also added type hints.
Demo combining Grounding DINO with SAM (Segment Anything Model) visualized with Rerun
Contributions:6 reviews, 5 PRs, 5 pushes in 4 months
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