Thomas Fäulhammer
Computer Vision Engineer at Snap Inc.
Vienna, Austria
Summary
👤
Senior🎓
Top SchoolThomas Fäulhammer is a computer vision engineer with 11 years of experience specializing in 6DoF object pose estimation and 3D perception for robotic and AR systems, currently building vision features at Snap Inc. He has led R&D teams and shipped production perception libraries in C++, PCL, ROS and OpenCV, and has delivered customer-facing demos from CES to investor showcases. His background blends academic pedigree—a summa cum laude PhD in Vision for Robotics—with hands-on roles at startups and labs where he tackled untextured object detection, sensor calibration, and vision-driven hardware choices. Notably, he has navigated IP/licensing and DevOps challenges while setting up regional offices and infrastructure, revealing a pragmatic systems mindset beyond core research. Based in Vienna, he combines deep algorithmic expertise with a proven track record of translating research into deployed robotic perception products.
11 years of coding experience
7 years of employment as a software developer
Vienna University of TechnologyAutomation and Control Theory, Automation and Control Theory at The Faculty of Engineering at Lund UniversityA level, Electronics Engineering and Computer Science, with distinction, A level, Electronics Engineering and Computer Science, with distinction at Technisches Gewerbemuseum (TGM) Vienna (higher-level secondary industrial and trade colleges)
English, German, Swedish
Github Skills (18)
pcl10
point-cloud10
point-cloud-library9
cpp9
computer-vision9
ros8
testing8
machine-learning6
deep-learning5
caffe5
squirrel1
hardware1
simulation1
pytorch1
visualization1
Programming languages (3)
Github contributions (5)
ToMadoRe/v4r_ros_wrappers
Feb 2017 - Jun 2017
Contributions:3 pushes, 4 branches in 4 months
rosros2wrappers
ToMadoRe/v4r
Mar 2016 - Feb 2017
Contributions:4 branches, 1 comment in 10 months
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