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Vahid Azizi

AI/ML Research Engineer

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About

Vahid Azizi is a highly skilled ML Research Engineer with over a decade of experience in the field. Currently working at Adobe as a Research Engineer, ML, Vahid is responsible for developing and implementing cutting-edge machine learning algorithms to improve Adobe's products and services. Prior to joining Adobe, Vahid worked as a Research Intern at both Adobe and Microsoft, where he gained valuable experience in computer vision and deep learning. During his time at Microsoft, Vahid worked on developing computer vision algorithms for image and video processing, while at Adobe, he worked on developing machine learning algorithms for content analysis and recommendation systems. Vahid holds a Doctor of Philosophy degree in Computer Science from Rutgers University, where he specialized in machine learning and computer vision. His research focused on developing novel algorithms for object recognition and tracking in complex environments. Vahid is a highly skilled ML Research Engineer with a strong background in research and development. He is proficient in a wide range of technologies, including research scientist, ML, and computer vision. Vahid is passionate about using his skills and expertise to develop innovative solutions that solve complex problems. With his extensive experience and expertise, he is a valuable asset to any organization looking to develop cutting-edge machine learning solutions.

Education Overview

• rutgers university

• jacobs university bremen

Companies Overview

• adobe

• microsoft ai

• disney research

• irobot

• teamviewer

• german research center for artificial intelligence dfki

• mechatronics research laboratory mrl

Experience Overview

9.8 Years

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Experience

Senior AI/ML Research Engineer, R&D Lead

adobe | California, United States

2021 - Present

Research Intern

microsoft ai | Washington, United States

2021 - 2021

Research Intern

adobe | California, United States

2020 - 2020

Research Intern

adobe | California, United States

2019 - 2019

Research Intern

disney research | California, United States

2018 - 2018

Robotics Software Eng. Intern

irobot | Massachusetts, United States

2017 - 2017

Computer Vision Eng. Intern

teamviewer | Bremen, Germany

2015 - 2015

Research Assistant

german research center for artificial intelligence dfki | Bremen, Germany

2013 - 2015

Research Assistant

mechatronics research laboratory mrl | Qazvin, Iran

2006 - 2012

Skills

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Artificial Intelligence (AI)

Computer Vision

Excel

Generative AI

Machine Learning (ML)

Natural Language Processing (NLP)

Problem solving

Recommendation system

Research

Research and Development (R&D)

Research Scientist

Vision

Contact Details

Email (Verified)

va.XXXXXXXXXXXXXom

Mobile Number

+91XXXXXXXXXX

Education

rutgers university

Doctor of Philosophy - PhD

2015 - 2020

jacobs university bremen

Master of Science - MS

2013 - 2015

Frequently asked questions

What company does Vahid Azizi work for?

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Vahid Azizi works for adobe

What is Vahid Azizi role in his workplace?

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Vahid Azizi's role in his workplace is Senior AI/ML Research Engineer, R&D Lead

What is Vahid Azizi's tenure in his workplace?

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Vahid Azizi's tenure in his workplace is 3.25 years

What is Vahid Azizi's total experience?

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Vahid Azizi's total experience is 9.83 years

What is Vahid Azizi's LinkedIn profile?

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Vahid Azizi's LinkedIn profile can be found here

What is Vahid Azizi's email address?

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Vahid Azizi's email address is va.XXXXXXXXXXXXXom. Unlock here

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Vahid Azizi's phone number is +91XXXXXXXXXX. Unlock here

What schools did Vahid Azizi attend?

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Vahid Azizi has attended rutgers university, jacobs university bremen

What companies has Vahid Azizi worked with?

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Vahid Azizi has worked with adobe, microsoft ai, adobe, adobe, disney research, irobot, teamviewer, german research center for artificial intelligence dfki, mechatronics research laboratory mrl

What are some of Vahid Azizi's skills?

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Vahid Azizi has skills in Artificial Intelligence (AI), Computer Vision, Excel, Generative AI, Machine Learning (ML), Natural Language Processing (NLP) and more.

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