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Fatemeh Taghvaei
Junior AI/ML Engineer and Instructor specializing in deep learning, computer vision, and NLP
Chicago, ILAdjunct Faculty2 years experienceJuniorEducationTechnologyArtificial Intelligence
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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.
Experience
Adjunct FacultyNational Louis University
InstructorNorthwestern University, Center for Talent Development
Teaching AssistantNorthwestern University, Center for Talent Development
Education
University of Illinois Chicagomaster, Electrical and Computer Engineering (2024)
University of Isfahanbachelor, Computer Engineering (2021)
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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