Sayan Deb Sarkar Email & Phone Number
Who is Sayan Deb Sarkar? Overview
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Sayan Deb Sarkar is listed as PhD @ Stanford | MSc CS @ ETHZ | Ex - Qualcomm XR, Mercedes Benz at Gradient 𝚫 Spaces Research Group - Stanford, based in Stanford, California, United States. AeroLeads shows a matched LinkedIn profile for Sayan Deb Sarkar.
Sayan Deb Sarkar previously worked as Doctoral Research Assistant at Gradient 𝚫 Spaces Research Group - Stanford and Student Researcher at Eth Zürich. Sayan Deb Sarkar holds Doctor Of Philosophy - Phd, 3D Computer Vision from Stanford University.
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About Sayan Deb Sarkar
Sayan Deb Sarkar is a PhD @ Stanford | MSc CS @ ETHZ | Ex - Qualcomm XR, Mercedes Benz at Gradient 𝚫 Spaces Research Group - Stanford. He possess expertise in python, leadership, management, java, web development and 9 more skills. He is proficient in Hindi and English. Colleagues describe him as "I had worked with Sayan remotely during the final year of his undergraduate studies. I really appreciate the dedication and commitment he had for the Finger Gesture recognition project which he was working on remotely. Despite the geographical challenges and time differences, Sayan managed his time efficiently attending to the project and deadline while managing his existing academic workload. Given a task, he would take full responsibility and work towards perfection. To keep abreast with the latest trends and developments in the deep-learning field, Sayan continuously upgrades his knowledge and skills which is commendable. I fully support Sayan with his future endeavors and wish him all the best!"
Listed skills include Python, Leadership, Management, Java, and 10 others.
Sayan Deb Sarkar's current company
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Sayan Deb Sarkar work experience
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Student Researcher
Advisor - Prof. Marc Pollefeys | Computer Vision and Geometry Group (CVG)Supervisors: Prof. Iro Armeni (Stanford), Dr. Daniel Barath (ETHZ), Dr. Ondrej Miksik (Microsoft)Collab w/ Microsoft Mixed Reality & AI Labs, ZurichProject : Multi-modal Scene Alignment with 3D Scene Graphs
Xr Research Intern (Slam)
Part of the Perception Team, XR Labs Europe► Engaged in advancing state-of-the-art visual SLAM systems for next generation Extended Reality applications for real-time performance and integration of deep learning algorithms to allow for improved tracking in adversarial scenarios.
Ai Scientist
Silo AI is the largest private AI lab in the Nordics – a trusted AI partner that brings competitive advantage to product R&D. We build AI-driven solutions and products to enable autonomous vehicles, industry 4.0, and smart devices, networks and cities. Silo AI provides its customers a unique access to world-class AI expertise, as well as the Silo OS infrastructure to speed up AI development and deployment. Established in 2017, Silo AI is on its path to become the European flagship AI company, with offices currently in Helsinki, Turku, Oulu, Stockholm, London and Palo Alto.Our vision is a world with safe human-centric AI that frees the human mind for meaningful work. #AIforPeople
Computer Vision Research Engineer
Part of the Intelligent Interior Team of MBUX Interior Assist programme for Maybach S-Class series► Responsible for designing deep-learning based vision modelling for driver monitoring system like 3D head position estimation and depth estimation from monocular RGB images for face spoofing applications in Multi-Purpose Integrated Camera (MPIC) systems.
Research Engineer
Computer Vision For Augmented Reality Lab | Institute of Computer Graphics and Vision | Funded by Qualcomm Inc.Supervisor: Prof. Dr. Vincent LepetitProjects and Contributions:1. Two Hands + Object Pose Estimation & Annotation From RGB/RGB-D Images2. 3D Indoor Scene Understanding - Object Model Retrieval and Room Layout Estimation
Summer Research Intern
Spectrum Lab | Department of Electrical EngineeringAdvisor : Dr. Chandra Sekhar SeelamantulaProject Topic : Detection of Micro-Aneurysms in Retinal Fundus Images using Deep Learning Approaches
Software Developer Intern
As a part of Global Entrepreneur Student Exchange programme of AIESEC, the non-profit organisation recognised by United Nations, I worked on-site at one of the leading intelligence-based hospitality recruitment companies in Europe. I was responsible for the following :► Designing layouts for employee and employer flow in a recruitment setting► Helping out in the development of the back-end of the web portal for customers► Implementing a basic CV scanner for easy uploading of resume.► Research work about CV parser for candidate filtering.
Sayan Deb Sarkar education
Doctor Of Philosophy - Phd, 3D Computer Vision
Msc, Computer Science
Bachelor Of Technology - Btech, Information Technology, 9.16/10.0
Frequently asked questions about Sayan Deb Sarkar
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What company does Sayan Deb Sarkar work for?
Sayan Deb Sarkar works for Gradient 𝚫 Spaces Research Group - Stanford.
What is Sayan Deb Sarkar's role at Gradient 𝚫 Spaces Research Group - Stanford?
Sayan Deb Sarkar is listed as PhD @ Stanford | MSc CS @ ETHZ | Ex - Qualcomm XR, Mercedes Benz at Gradient 𝚫 Spaces Research Group - Stanford.
Where is Sayan Deb Sarkar based?
Sayan Deb Sarkar is based in Stanford, California, United States while working with Gradient 𝚫 Spaces Research Group - Stanford.
What companies has Sayan Deb Sarkar worked for?
Sayan Deb Sarkar has worked for Gradient 𝚫 Spaces Research Group - Stanford, Eth Zürich, Qualcomm, Silo Ai, and Mercedes-Benz Research And Development India.
How can I contact Sayan Deb Sarkar?
You can use AeroLeads to view verified contact signals for Sayan Deb Sarkar at Gradient 𝚫 Spaces Research Group - Stanford, including work email, phone, and LinkedIn data when available.
What schools did Sayan Deb Sarkar attend?
Sayan Deb Sarkar holds Doctor Of Philosophy - Phd, 3D Computer Vision from Stanford University.
What skills is Sayan Deb Sarkar known for?
Sayan Deb Sarkar is listed with skills including Python, Leadership, Management, Java, Web Development, Mongodb, Machine Learning, and Image Processing.
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