Sunil Yadav
Principal Applied Scientist at Nocturne
Berlin, Germany
Summary
👤
Senior🎓
Top SchoolSunil Yadav is a Principal Applied Scientist based in Berlin with a decade of experience bridging computer vision, discrete differential geometry and machine learning to extract meaningful insights from visual data. He holds a summa cum laude PhD in Mathematics and Computer Science and combines deep academic rigor with hands-on industry impact at Zalando and as Technical Director at Nocturne. His work spans geometry processing, medical imaging and 3D visualization, translating advanced mathematical ideas into practical algorithms and products. Sunil has maintained research ties through long-term roles at Freie Universität Berlin and Charité, reflecting a strong track record in translational research. He brings an entrepreneur’s mindset to applied science—building teams and solutions that move prototypes toward production.
10 years of coding experience
11 years of employment as a software developer
M-Tech, Digital Signal and Image Processing, Computer Vision, 3-D Visualization, M-Tech, Digital Signal and Image Processing, Computer Vision, 3-D Visualization at TU BerlinDoctor of Philosophy - PhD, Mathematics and Computer Science, summa cum laude, Doctor of Philosophy - PhD, Mathematics and Computer Science, summa cum laude at Freie Universität BerlinIndian Institute of Technology Roorkee10th and 12th, Science and Mathematics, 10th and 12th, Science and Mathematics at SKIC Barhaj Deoria U.P. India
German, Hindi, English
Github Skills (20)
pyvista9
vtk9
mesh8
open-science7
scientific-visualization7
3d6
python6
visualization6
mesh-processing5
finite-element-analysis5
forum5
surface4
ocr1
text-to-image1
image-processing1
Programming languages (1)
Github contributions (5)
Sunil7545/RoFi-Mesh-Denoising
Jun 2018 - May 2020
Contributions:6 commits, 5 pushes, 1 branch in 1 year 11 months
Sunil7545/PointSetDenoising
May 2018 - Jun 2020
Contributions:12 commits, 6 pushes, 1 branch in 2 years 1 month
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