Daniel C is a computer vision researcher with over a decade of commercial software experience and eight years focused on computer vision at NVIDIA and Meta, specializing in camera calibration, 3D reconstruction, object tracking and low-level GPU optimization. He combines deep technical chops in AI pipeline testing, build systems and data collection with hands-on research output, recently supervising projects at the University of Oulu and joining a stealth startup. Unusually, Daniel has bridged into biology—earning a BS in Biology and leading computer-vision-based elephant sleep monitoring at Zoo Zürich—bringing domain-aware sensing solutions to ecological studies. His background spans embedded and desktop systems through large-scale vision for autonomous vehicles and VR, informed by a Doctor of Technology in computer vision and robotics training from Heriot-Watt and Oulu.
11 years of coding experience
12 years of employment as a software developer
Bachelor of Science - BS, Systems Engineering, Bachelor of Science - BS, Systems Engineering at Universidad Latina de Costa Rica
Doctor of Technology, Computer vision and 3d reconstruction, Doctor of Technology, Computer vision and 3d reconstruction at University of Oulu
Bachelor of Science - BS, Electrical and Electronics Engineering, Bachelor of Science - BS, Electrical and Electronics Engineering at Tecnológico de Costa Rica
Heriot-Watt University Edinburgh Campus
Bachelor of Science - BS, Biology and Biodiversity, Bachelor of Science - BS, Biology and Biodiversity at University of Zurich
Contributions:93 commits, 1 PR, 3 pushes in 4 years 3 months
calibrationself-calibrationscenes
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Daniel C - Computer Vision Researcher at Stealth Startup