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Tushar Shinde Email & Phone Number

Stanford | AI/ML | IIT | Ex-Qualcomm | EdgeAI Model Compression at Indian Institute of Technology, Madras
Location: India 8 work roles 4 schools
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Role
Stanford | AI/ML | IIT | Ex-Qualcomm | EdgeAI Model Compression
Location
India

Who is Tushar Shinde? Overview

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Tushar Shinde is listed as Stanford | AI/ML | IIT | Ex-Qualcomm | EdgeAI Model Compression at Indian Institute of Technology, Madras, based in India. AeroLeads shows a matched LinkedIn profile for Tushar Shinde.

Tushar Shinde previously worked as Assistant Professor at Indian Institute Of Technology, Madras and Postdoctoral Researcher at Stanford University. Tushar Shinde holds Postdoctoral Fellow, Artificial Intelligence from Stanford University.

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Indian Institute of Technology, Madras

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Profile bio

About Tushar Shinde

Highly skilled professional with expertise in image processing, machine learning, and deep learning, with a track record of impactful research and industry projects. Seeking a challenging role to apply my expertise in developing algorithms, driving innovation, solving complex problems, and making substantial contributions to cutting-edge research initiatives.

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Indian Institute of Technology, Madras
Indian Institute Of Technology, Madras
Stanford | AI/ML | IIT | Ex-Qualcomm | EdgeAI Model Compression
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8 roles · 14 years

Tushar Shinde work experience

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Postdoctoral Researcher

Stanford, Ca, Us

Pixel-based Fast Motion Estimation: Designed, developed, and implemented a novel Adaptive pixel-based direction-oriented fast motion estimation method for lossless video compression and extension towards Surveillance Video Coding.Medical Image Compression: Designed, developed, and implemented a groundbreaking context-based lossless image compression methodology specifically tailored for longitudinal (4D) medical images like CT and MRI.Deep learning-based Dose Prediction: Employed DL techniques to accurately predict dose and dose levels in radiotherapy planning, revolutionizing treatment planning processes with improved accuracy and efficiency.

Mar 2022 - Dec 2023

Senior Engineer (Video Systems)

San Diego, Ca, Us

Video Codec Algorithm Development: Designed and developed algorithms to enhance the compression efficiency of H264 (AVC)/H.265 (HEVC) encoder implementation in QC chipsets, collaborating with global teams within the organization.HDR10 and HEIF: Acquired proficiency in various video quality metrics and successfully integrated them for HDR10 and HEIF perceptual quality assessment in critical client applications.

Dec 2019 - Mar 2022

Efhk3 Founder In Residence

London, Gb

Deep Tech Startup: During my time at Entrepreneur First, a renowned incubator for early-stage deep-tech founders, I gained valuable experience in team formation and idea creation. I actively participated in the ideation process and had the opportunity to explore a potential project involving the development of a lossless data compression framework.

Jul 2019 - Oct 2019

Sakura Science Exchange Student Researcher

Higashi-Hiroshima, Jp

Sakura exchange visitor under the framework of the Japan-Asia Youth Exchange program administered by the Japan Science and Technology Agency. Robotics and Deep Learning: Led the design, dataset preparation, and training using deep learning techniques for a robotic arm capable of playing rock-paper-scissors against a human. Programmed the robotic arm and collaborated with fellow graduates to seamlessly integrate the solution for a captivating live demonstration.

Jun 2019 - Jul 2019

Exchange Student Researcher

上海, Shanghai, Cn

Skeleton Data Compression: Designed and developed an innovative framework for lossless compression of skeleton point data. Collaborated closely with esteemed faculties and research graduates at SJTU to ensure successful implementation.Efficient Motion Estimation for Surveillance Videos: Designed and developed a foreground-aware efficient motion search algorithm that is background, foreground, and boundary-aware, specifically designed for surveillance videos.

Jan 2019 - May 2019

System Engineer

Bangalore, Karnataka, In

Full Stack Development: Played a crucial role in developing and maintaining an end-to-end order management application for a prominent automotive client. Within this role, my responsibilities encompassed a wide range of programming tasks, including SQL query writing, analysis, development, implementation, modification, testing, and ongoing system maintenance.

Jul 2011 - Jun 2013
4 education records

Tushar Shinde education

Postdoctoral Fellow, Artificial Intelligence

Stanford University

Doctor Of Philosophy - Phd, Data Compression, Image And Video Coding, Motion Estimation, Lossless Compression

Indian Institute Of Technology Jodhpur

Master Of Technology (M.Tech.), Information & Communication Engineering

Indian Institute Of Technology Jodhpur

Bachelor Of Technology (B.Tech.), Electronics Engineering

Walchand College Of Engineering(A Govt. Aided Autonomous Institute),Sangli-M.S
FAQ

Frequently asked questions about Tushar Shinde

Quick answers generated from the profile data available on this page.

What company does Tushar Shinde work for?

Tushar Shinde works for Indian Institute of Technology, Madras.

What is Tushar Shinde's role at Indian Institute of Technology, Madras?

Tushar Shinde is listed as Stanford | AI/ML | IIT | Ex-Qualcomm | EdgeAI Model Compression at Indian Institute of Technology, Madras.

Where is Tushar Shinde based?

Tushar Shinde is based in India while working with Indian Institute of Technology, Madras.

What companies has Tushar Shinde worked for?

Tushar Shinde has worked for Indian Institute Of Technology, Madras, Stanford University, Qualcomm, Entrepreneur First, and Hiroshima University.

How can I contact Tushar Shinde?

You can use AeroLeads to view verified contact signals for Tushar Shinde at Indian Institute of Technology, Madras, including work email, phone, and LinkedIn data when available.

What schools did Tushar Shinde attend?

Tushar Shinde holds Postdoctoral Fellow, Artificial Intelligence from Stanford University.

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