Sharon Hadar is an AI Engineer with 9 years of experience building production ML systems, MLOps pipelines, and cloud-native data solutions across startups and enterprises. She has led ML teams and data science efforts at Payoneer and At-Bay, and currently applies her expertise to AI engineering at Guardz. Her background combines a Master’s in Intelligent Systems Engineering with hands-on full-stack development, GIS and photogrammetry from military and academic projects, enabling robust spatial-aware ML applications. Sharon is comfortable bridging research and production—designing models, automating deployment, and architecting scalable cloud workflows. She brings a practical consulting mindset from global engagements and a track record of shipping operational tooling for complex, security-sensitive domains. An unusual strength is her deep GIS/photogrammetry experience, which she leverages to enrich ML products with 3D and spatial context.
9 years of coding experience
12 years of employment as a software developer
Bachelor's Degree Information Technology, Bachelor's Degree Information Technology at Technion - Israel Institute of Technology
Master’s Degree Intelligent systems engineering, Master’s Degree Intelligent systems engineering at Afeka Tel Aviv Academic College of Engineering
Build a docker image that streams twits to Mongodb base on location and word, run it on multiple vm with Kubernete cluster and query Mongodb with RoboMongo and mLab.
Contributions:91 commits, 82 pushes, 1 branch in 6 months
Contributions:267 commits, 231 pushes, 1 branch in 5 months
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