Ananth Kalyanasundaram
Applied AI Researcher at QpiAI
Bengaluru, Karnataka, India
Summary
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Top SchoolAnanth Kalyanasundaram is an Applied AI Researcher and MSc Computer Science graduate from TUM with eight years of experience building computer vision and deep learning systems spanning medical imaging, academic research, and startup productization. He has worked on 3D scene generation, reconstruction, and neural rendering in Prof. Matthias Niessner’s group and is passionate about democratizing photorealistic 3D asset creation for studios. His background includes published research on MRI super-resolution and histopathology segmentation, plus hands-on roles as a founding computer vision engineer at a stealth AI startup and as an applied researcher at QpiAI. Comfortable moving projects from paper to prototype, he combines rigorous academic methods with product-focused engineering and a track record of shipping vision models in constrained, real-world settings.
7 years of coding experience
1 year of employment as a software developer
MSc, Computer Science, MSc, Computer Science at Technical University of MunichBachelor of Technology, Computer Science, Bachelor of Technology, Computer Science at SRM IST ChennaiHigh School, High School at PSBB Senior Secondary School, Chennai
Japanese, English, Tamil, Hindi, German
Github Skills (12)
image-rendering4
deferred4
mesh3
computer-vision3
image-synthesis2
siggraph2
neural-rendering2
rendering2
computer-graphics2
deep-learning2
synthesis2
pytorch2
Programming languages (1)
Github contributions (5)
AnanthK1998/Nuclei-segmentation-MICCAI-2018-Challenge-
Jun 2018 - Apr 2020
Contributions:13 commits, 12 pushes, 1 branch in 1 year 11 months
AnanthK1998/AnanthK1998.github.io
Dec 2019 - Feb 2025
Contributions:39 pushes, 1 branch in 5 years 2 months
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