Rafia Rahim
Research Assistant at University of Tübingen
Tübingen, Baden-Württemberg, Germany
Summary
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Senior🎓
Top SchoolRafia Rahim is a deep learning research scientist and educator with nine years of experience, currently pursuing a PhD in Artificial Intelligence while working on industrially funded projects at the University of Tübingen to build efficient neural networks. She combines hands-on expertise in image and text processing, MRI/PET medical imaging, and model efficiency with strong software skills in C++, Python, PyTorch and TensorFlow. Rafia has a proven teaching track record—designing and delivering undergraduate curricula and serving as a teaching assistant for neural network courses—alongside supervising student projects. A top-ranked MS graduate, she has bridged academic research and applied computer vision work at research labs and startups, and often leads group reading sessions and mentorship activities that accelerate team capabilities. Notably, she balances rigorous research with practical deployment concerns, focusing on methods that reduce model costs without sacrificing performance.
9 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at University of TübingenMaster of Science - MS, Computer Science, 3.90/4.00; Batch Rank 1st/50, Master of Science - MS, Computer Science, 3.90/4.00; Batch Rank 1st/50 at National University of Computer and Emerging Sciences
Urdu, Punjabi, English, German
Github Skills (10)
stereo9
matching9
convolution7
3d5
medical-image-segmentation5
pytorch3
neural-network3
super-resolution3
tensorflow1
ai1
Programming languages (2)
Github contributions (5)
RafiaRahim/RafiaRahim.github.io
Oct 2022 - Nov 2022
Contributions:70 commits, 40 pushes, 1 branch in 1 month
cogsys-tuebingen/separable-3D-convs-for-stereo-matching
Jun 2021 - Nov 2021
Contributions:10 commits, 6 pushes, 1 branch in 5 months
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