Sayan Sarkar
Doctoral Research Assistant at Gradient 𝚫 Spaces Research Group - Stanford
Palo Alto, California, United States
Summary
👤
Senior🎓
Top SchoolSayan Sarkar is a computer vision researcher and PhD student focused on 3D scene understanding and multimodal scene alignment, currently working with Stanford’s Gradient Δ Spaces Research Group after an MSc at ETH Zurich. He has nine years of industry and research experience spanning Mercedes‑Benz interior camera systems, Qualcomm and Microsoft internships, and research roles with Prof. Vincent Lepetit and Marc Pollefeys, with publications at CVPR/ICCV/ECCV. His work blends practical SLAM and XR system development with data‑driven 3D scene graph alignment and codec‑aware video representations, having led projects like CoPE-VideoLM. Comfortable bridging academia and industry, he collaborates with Microsoft Mixed Reality & AI Labs and contributes to interactive scene editing and multimodal alignment pipelines. Based in Palo Alto, he pairs deep technical expertise with a pragmatic engineering mindset and a habit of turning complex 3D problems into reproducible systems—plus he’s always open to research collaborations (and coffee meetups).
8 years of coding experience
4 years of employment as a software developer
Bachelor of Technology - BTech, Information Technology, Bachelor of Technology - BTech, Information Technology at Manipal Institute of TechnologyMSc, Computer Science, MSc, Computer Science at ETH ZürichDoctor of Philosophy - PhD, 3D Computer Vision, Doctor of Philosophy - PhD, 3D Computer Vision at Stanford University
English, Hindi, Bengali
Github Skills (44)
euler10
sandbox10
javascript10
python10
null-safety10
perl10
som10
golang10
dub10
odin10
cpp10
lisp10
convolutional-neural-networks9
virtual-keyboard9
recurrent-neural-networks9
Programming languages (7)
Github contributions (5)
sayands/deep-learning-projects
May 2018 - Jun 2019
A repository of the various deep learning projects I am implementing over time
Contributions:88 commits, 62 pushes, 1 branch in 1 year
pytorchpythonmxnetcaffe2unsupervised-learning
practical-tutorials/project-based-learning
Apr 2018 - Dec 2018
Curated list of project-based tutorials
Contributions:114 commits, 27 PRs, 19 comments in 8 months
golangcpppythondubproject-based-tutorials
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