Elias Mueggler is an engineering leader with 12 years of experience building perception and real-time 3D scene-understanding systems, currently managing teams at Meta’s Reality Labs in Zurich. He transitioned from hands-on research scientist work into research engineering management, bridging novel computer vision, SLAM and sensor-fusion research with production-grade software and large-scale inference. His background spans mechanical engineering and a PhD in computer science, combining hardware-aware system design with algorithmic depth—evident from his full-stack contributions to ROS packages for Dynamic Vision Sensors, including USB drivers, IMU support and stereo calibration. Known for shipping end-to-end solutions that connect low-level sensors to large reconstruction pipelines, he mentors cross-disciplinary teams to turn cutting-edge research into scalable AR platform components.
12 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (PhD) Computer Science, Doctor of Philosophy (PhD) Computer Science at University of Zurich
Visiting Student, Visiting Student at Massachusetts Institute of Technology
Master of Science (MSc) Mechanical Engineering, Master of Science (MSc) Mechanical Engineering at ETH Zürich
Exchange Student, Exchange Student at Chalmers University of Technology
Contributions:205 commits, 29 PRs, 68 pushes in 3 years 5 months
Contributions summary:Elias contributed significantly to the development of ROS packages for a DVS (Dynamic Vision Sensor). They implemented a DVS driver with USB communication, incorporating features like parameter configuration, timestamp synchronization, and IMU support. Additionally, the user worked on rendering DVS data for visualization and integrated the system with a camera calibration pipeline, including stereo calibration capabilities. The user's work shows a focus on the full stack development including hardware interaction, ROS integration, and data visualization.
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