Nail Ibrahimli
Machine Learning Engineer at Woven by Toyota
Delft, South Holland, South Korea
Summary
👤
Senior🎓
Top SchoolNail Ibrahimli is a Machine Learning Engineer with eight years of hands-on experience specializing in 3D reconstruction, scene understanding, and generative 3D AI, currently contributing to vehicle perception at Woven by Toyota. As a PhD researcher at TU Delft with a visiting stint at KAIST, he bridges cutting-edge academic research and industrial deployment across AD/ADAS and spatial computing domains. His background spans photogrammetry, sensor fusion, and camera odometry from roles in research labs and startups, including work on large-scale point cloud stitching and robust texture alignment for real-world spaces. Comfortable moving between research prototypes and production systems, he has a track record of turning multimodal 3D sensing problems into deployable pipelines. An interesting detail: he has experience adapting medical and robotics vision techniques (bronchoscopy odometry, robotic-arm RGBD reconstruction) to broader spatial computing and automotive perception challenges.
9 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Informatics, Master of Science - MS, Informatics at Technical University of MunichBachelor's degree, Computer Engineering, Bachelor's degree, Computer Engineering at Orta Doğu Teknik Üniversitesi / Middle East Technical University
English, Turkish, Russian, Azerbaijani, German
Stackoverflow
1,082reputation
124kreached
48answers
31questions
Github Skills (70)
kinect-v210
literate-programming10
implicit-surfaces10
3d-reconstruction10
camera-calibration10
pytorch-lightning10
slam10
kinect9
computer-vision9
optimizers9
solver9
3d9
lora9
geometry-library9
pytorch9
Programming languages (6)
Github contributions (5)
Mirmix/Mirmix
Sep 2022 - Aug 2025
Contributions:3 pushes, 1 branch in 2 years 11 months
Mirmix/3D_shape_regularization
Feb 2022 - Aug 2025
Contributions:2 pushes in 3 years 6 months
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