Noor Khan
Geospatial AI AI Lead
Seoul, South Korea
Summary
👤
Senior🎓
Top SchoolNoor Khan is a Geospatial AI lead based in Seoul with 10 years of experience applying deep learning to aerial imagery, semantic segmentation, object detection, and image processing for production systems. At Dabeeo since 2017 she has bridged research and operational deployment, turning convolutional research into scalable geospatial pipelines. Her academic work at Sejong University focused on text and visual information retrieval using deep convolutional networks, giving her a strong foundation in multimodal feature extraction. Known for shipping deep learning in production, she combines hands-on model development with system-level thinking to solve real-world mapping and remote-sensing problems. An avid experimenter, she often blends academic rigor with pragmatic engineering to optimize models for constrained deployment environments.
10 years of coding experience
2 years of employment as a software developer
Master's degree, Computer Engineering, 4.2, Master's degree, Computer Engineering, 4.2 at Sejong University
English
Github Skills (29)
python10
caffe9
machine-learning9
htmlwidgets9
tensorflow9
neural-network9
deep-learning9
deep-neural-networks8
ml8
data-science8
gpu7
heatmap7
satellite6
imagery6
satellite-imagery6
Programming languages (6)
Github contributions (5)
makman7/detectron2
May 2021 - Jun 2021
Detectron2 is FAIR's next-generation platform for object detection, segmentation and other visual recognition tasks.
Contributions:6 pushes in 6 days
next-generationdetectron2detectiondeep-learningface-recognition
makman7/nodejs-course
Jan 2017 - Feb 2017
Contributions:3 pushes in 29 days
node-jsjavascriptnodejsteachnode
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