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Fatemeh Taghvaei
Junior AI/ML Engineer and Instructor specializing in deep learning, computer vision, and NLP
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About
Computer-vision practitioner and educator who built a real-time license plate recognition system (OpenCV/Python + KNN) optimized to run on a Raspberry Pi with camera integration. Also designs hands-on deep learning coursework, incorporating recent transformer-based vision research (Vision Transformers) into practical labs on real datasets.
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Key Strengths
- Built end-to-end real-time license plate detection/segmentation and character recognition pipeline
- Optimized computer vision/ML system for low-cost embedded deployment on Raspberry Pi
- Practical troubleshooting of hardware/software integration issues (Pi camera connectivity)
- Bridges research concepts to applied systems via adapters, simulation-first testing, and safety checks
- Curriculum design: redesigned AI module for mixed-skill students with hands-on labs to improve engagement
- Applies recent research (e.g., ViT) into practical labs using real datasets
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Experience
Education
Languages
Publications
1 publication
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