Sayan Deb Sarkar

Sayan Deb Sarkar Email and Phone Number

PhD @ Stanford | MSc CS @ ETHZ | Ex - Qualcomm XR, Mercedes Benz @ Gradient 𝚫 Spaces Research Group - Stanford
Sayan Deb Sarkar's Location
Stanford, California, United States, United States
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!"

Sayan Deb Sarkar's Current Company Details
Gradient 𝚫 Spaces Research Group - Stanford

Gradient 𝚫 Spaces Research Group - Stanford

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PhD @ Stanford | MSc CS @ ETHZ | Ex - Qualcomm XR, Mercedes Benz
Sayan Deb Sarkar Work Experience Details
  • Gradient 𝚫 Spaces Research Group - Stanford
    Doctoral Research Assistant
    Gradient 𝚫 Spaces Research Group - Stanford Sep 2024 - Present
    Stanford, California, United States
  • Eth Zürich
    Student Researcher
    Eth Zürich Oct 2022 - Aug 2024
    Zurich, Switzerland
    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
  • Qualcomm
    Xr Research Intern (Slam)
    Qualcomm Jul 2023 - Jan 2024
    Amsterdam Area
    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.
  • Silo Ai
    Ai Scientist
    Silo Ai Mar 2022 - Jun 2022
    Helsinki, Uusimaa, Finland
    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
  • Mercedes-Benz Research And Development India
    Computer Vision Research Engineer
    Mercedes-Benz Research And Development India May 2021 - Mar 2022
    Bangalore Urban, Karnataka, India
    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.
  • Technische Universität Graz
    Research Engineer
    Technische Universität Graz Jan 2020 - May 2021
    Graz, Styria, Austria
    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
  • Indian Institute Of Science (Iisc)
    Summer Research Intern
    Indian Institute Of Science (Iisc) May 2019 - Jul 2019
    Bengaluru Area, India
    Spectrum Lab | Department of Electrical EngineeringAdvisor : Dr. Chandra Sekhar SeelamantulaProject Topic : Detection of Micro-Aneurysms in Retinal Fundus Images using Deep Learning Approaches
  • Workathlon
    Software Developer Intern
    Workathlon May 2018 - Jun 2018
    Athens, Attiki, Greece
    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 Skills

Python Leadership Management Java Web Development Mongodb Machine Learning Image Processing Javascript C++ Node.js Django Mysql React.js

Sayan Deb Sarkar Education Details

Frequently Asked Questions about Sayan Deb Sarkar

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 the current company?

Sayan Deb Sarkar's current role is PhD @ Stanford | MSc CS @ ETHZ | Ex - Qualcomm XR, Mercedes Benz.

What schools did Sayan Deb Sarkar attend?

Sayan Deb Sarkar attended Stanford University, Eth Zürich, Manipal Institute Of Technology.

What skills is Sayan Deb Sarkar known for?

Sayan Deb Sarkar has skills like Python, Leadership, Management, Java, Web Development, Mongodb, Machine Learning, Image Processing, Javascript, C++, Node.js, Django.

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