Summary
Ghazaleh T is a Senior Data Scientist specializing in computer vision and deep learning with seven years of experience and a strong research background that produced conference and journal publications. Based in Montreal, she has moved from academic research on vision-based human activity recognition and stereo CNNs to product-focused roles building end-to-end video inference pipelines, multi-camera re-identification, pose estimation, and edge-optimized models. At Leav she led system design, patent work, hiring, and Mitacs-funded proposals, and at ZestyAI she advances applied vision solutions for production use. She combines rigorous MS-level research training with hands-on skills in model optimization, video acquisition/anonimization, and cloud deployment, enabling practical solutions for retailers and industrial settings. Notably, she has experience implementing resource-constrained CV systems (FPGA and edge) and translating atomic activity recognition into higher-level productivity analytics.
7 years of coding experience
5 years of employment as a software developer
Amirkabir University of Technology
Master of Science - MS, Electrical and Computer Engineering, 4.15, Master of Science - MS, Electrical and Computer Engineering, 4.15 at Concordia University
English, Persian