Ahmed Taha
Research Scientist at Whiterabbit.ai
Alexandria, Alexandria, Egypt
Summary
👤
Senior🎓
Top SchoolAhmed Taha is a research scientist with a PhD from the University of Maryland and over a decade of experience applying deep learning and representation learning to real-world problems, from multi-modal feature embedding at Amazon to early-stage cancer detection at Whiterabbit.ai. His work bridges rigorous academic contributions—developing methods like L2-CAF, SVMax, and Knowledge-Evolution for small-data training—with applied ML in medical imaging and autonomous driving scenarios. He combines technical depth in computer vision and metric learning with business insight from an MBA in marketing, enabling him to translate research into product impact. A repeat collaborator in industry research labs and startups, he is comfortable moving between prototyping novel algorithms and deploying them in mission-critical contexts. Unusually, his background spans advanced mathematics, engineering physics and entrepreneurship, which informs a systems-level approach to modeling uncertainty and robustness in feature embeddings.
11 years of coding experience
13 years of employment as a software developer
Master's degree, Mathematics and Physics, Master's degree, Mathematics and Physics at Alexandria UniversityMaster's degree, Computer Science, 4.0, Master's degree, Computer Science, 4.0 at University of MarylandMaster of Business Administration (MBA), Marketing, Excellent : GPA 3.83, Master of Business Administration (MBA), Marketing, Excellent : GPA 3.83 at Arab Academy for Science, Technology and Maritime Transport
Arabic, English
Github Skills (73)
few-shot-learning10
convolutional-neural-networks10
classification10
retrieval10
metric-learning10
softmax10
imagenet9
resnet9
python9
regularizer9
embedding9
re-identification9
visual-recognition9
tensorflow9
computer-vision8
Programming languages (4)
Github contributions (5)
ahmdtaha/ahmdtaha.github.io
Dec 2017 - Jan 2025
Contributions:70 pushes, 1 branch in 7 years 3 months
ahmdtaha/softmax_triplet_loss
Aug 2019 - Oct 2021
(WACV 2020) Tensorflow implementation of Boosting Standard Classification Architectures Through a Ranking Regularizer
Contributions:19 commits, 16 pushes, 1 branch in 2 years 1 month
classificationregularizertensorflowfgvc-aircraft-datasettriplet-loss
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