Shimrit Eliezer is a Computer Vision Engineer with 13 years of experience building production-ready image processing and deep learning systems across startups and large enterprises in medical imaging, smart cities, and semiconductors. She has led end-to-end projects from requirements and dataset creation to model training, optimization and deployment—most recently delivering a live object-detection pipeline for video streams and previously guiding multi-view tracking and DeepStream deployments. Her background blends classical vision algorithms and DL, plus product-facing roles that span project management, regulation support (CE), and cross-team feature ownership in multi-threaded, multi-service environments. Comfortable shipping in Docker/MQTT ecosystems and optimizing inference for real-world constraints, she brings a practical, measurement-driven approach to turning research into robust POCs and fielded systems.
13 years of coding experience
10 years of employment as a software developer
Master of Engineering (MEng) Biomedical/Medical Engineering, Master of Engineering (MEng) Biomedical/Medical Engineering at Technion - Israel Institute of Technology
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