Mahdi Hajibabaei
Software Engineer at ETH Zurich
Zurich, Zurich, Switzerland
Summary
👤
Senior🎓
Top SchoolMahdi Hajibabaei is a software engineer with 8 years of experience specializing in resource-efficient machine learning and computer vision, holding an M.Sc. from ETH Zurich. He has built practical, high-impact systems—from zero-shot burst super-resolution and video enhancement at EPFL to multilingual, noise-robust speaker recognition and low–false-alarm keyword spotting at Idiap—with results validated in competitive benchmarks. Mahdi favors rigorous implementation and adaptation of well-known algorithms to constrained data, compute, and storage settings, and has published and taught ML topics during his research roles. He combines research-grade methods with pragmatic engineering, often achieving substantial error reductions (e.g., >33% in contrastive speaker recognition experiments) while optimizing for real-world constraints.
8 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS, Electrical Engineering, Top 10% of Class of 2015, Bachelor of Science - BS, Electrical Engineering, Top 10% of Class of 2015 at University of TehranMaster of Science - MS, Electrical Engineering and Information Technology, Master of Science - MS, Electrical Engineering and Information Technology at ETH Zurich
English, Persian, German
Github Skills (14)
intrinsics8
structure-from-motion8
stereo8
geometry8
homography7
computer-vision7
colmap6
denoising4
super-resolution3
pytorch2
temporal2
fusion2
image-restoration2
progressive1
Programming languages (2)
Github contributions (5)
MahdiHajibabaei/unified-embedding
Mar 2019 - Jul 2019
Contributions:9 commits, 40 pushes, 1 branch in 3 months
Contributions:4 pushes, 1 branch in 9 months
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