Noman Shafqat
Data Scientist
Canterbury, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolNoman Shafqat is a data scientist with nine years of hands-on experience building and deploying computer vision and ML systems, holding a Distinction MSc in Artificial Intelligence from the University of Essex. He has delivered production-ready models that push real-time performance on constrained devices—e.g., mobile document detection at 10 FPS and 98% pixel F1—and has improved segmentation and anomaly-detection F1 scores across drone, satellite and embedded-sensor projects. Comfortable bridging research and product, he has led small teams, created synthetic-augmentation pipelines that boosted accuracy by 20%+, and cut field-survey costs through automated building-surface and roof-change detection. Based in Canterbury, UK, he combines deep technical expertise in NLP, CV and reinforcement learning with a pragmatic focus on latency, efficiency and measurable business impact.
9 years of coding experience
3 years of employment as a software developer
Master's degree, Artificial Intelligence, Distinction, Master's degree, Artificial Intelligence, Distinction at University of EssexBachelor's degree, Computer Software Engineering, Bachelor's degree, Computer Software Engineering at National University of Sciences and Technology (NUST)Programming languages (1)
Github contributions (5)
nomanshafqat/SSD500
Jan 2018 - May 2018
Contributions:22 commits in 4 months
nomanshafqat/FullyConvDensenet
Feb 2018 - Sep 2018
Contributions:2 releases, 21 commits, 2 PRs in 6 months
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