Khawar Islam

Chief Technology Officer (CTO) - Gen AI at Upendi.app

Melbourne, Victoria, Australia
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Summary

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Senior
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Top School
Khawar Islam is a machine learning and computer vision leader with 11 years of experience, currently serving as CTO for GenAI at Upendi.app and pursuing a PhD in Computer Vision and Machine Learning at the University of Melbourne. He blends deep learning research—spanning vision transformers, self-supervised learning, knowledge distillation and scene graphs—with practical GenAI engineering such as Stable Diffusion refiners, ControlNet, and IP-Adapter deployments. His background includes academic research on abusive content classifiers and large-scale dataset construction (10M+) as well as industrial work on object detection, segmentation, and low-data regimes. Comfortable moving between research and product, he has shipped both foundational models and applied tools for ID/face workflows, OCR, and realistic image synthesis. Notably, he pairs a strong publication and lab pedigree from Sejong University and CVPR Lab with hands-on engineering across PyTorch/TensorFlow and NVIDIA toolchains. He brings a hybrid profile: a researcher who repeatedly turns complex vision concepts into production-ready GenAI features.
code10 years of coding experience
job5 years of employment as a software developer
bookMaster's degree Computer Engineering, Master's degree Computer Engineering at Sejong University
bookThe University of Melbourne
languagesEnglish, Urdu
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Github Skills (200)

arabic10
scene-text10
facenet10
text-detection10
face-alignment10
face-recognition10
optical-character-recognition10
computer-vision10
easyocr10
mobilenet10
data-mining10
xception10
keras10
openface10
opencv10

Programming languages (8)

JavaC++CTeXHTMLJupyter NotebookRubyPython

Github contributions (5)

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Contributions:24 commits, 1 comment, 1 issue in 8 months
Contributions:29 pushes, 1 branch in 1 year 5 months
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Khawar Islam - Chief Technology Officer (CTO) - Gen AI at Upendi.app