Summary
Fatemeh Azimi is a Senior Applied Scientist with 8 years of experience building robust 2D/3D perception systems for autonomous vehicles, spanning research innovation to production deployment. She has delivered camera and LiDAR inference pipelines, optimized models with TensorRT for real-time truck autonomy, and led teams as a Scrum Master to coordinate cross-functional delivery. Her background blends a PhD-level research track in video object segmentation and self-supervised multi-object tracking with hands-on industry internships at Adobe and Algolux, where she developed pseudo-labeling and foundation-model approaches for 3D tasks. Based in Vienna, she recently transitioned to Canva, bringing deep expertise in perception, domain-shift resilience, and practical deployment trade-offs that bridge academic rigor and product constraints.
8 years of coding experience
10 years of employment as a software developer
PhD Candidate, Computer Science, PhD Candidate, Computer Science at University of Kaiserslautern
Master's degree, Electrical Engineering, Master's degree, Electrical Engineering at RWTH Aachen University
Bachelor's degree, Electrical Engineering, Bachelor's degree, Electrical Engineering at Ferdowsi University of Mashhad