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Business Mint Awards Amey Porobo Dharwadker Most Prominent Industry Expert in Machine Learning 2023
Home/Spotlight/Business Mint Awards Amey Porobo Dharwadker Most Prominent Industry Expert in Machine Learning 2023
Spotlight

Business Mint Awards Amey Porobo Dharwadker Most Prominent Industry Expert in Machine Learning 2023

New Delhi : The need for individualised video suggestions has skyrocketed in many industries, including media and entertainment, e-commerce, education, and social networking, elevating the...

Times News Service
March 15, 2023 3 Min Read

New Delhi : The need for individualised video suggestions has skyrocketed in many industries, including media and entertainment, e-commerce, education, and social networking, elevating the significance of video recommender systems. The widespread availability of high-speed internet and other technological advancements have made such systems absolutely necessary for influencing user experiences and motivating participation on a global scale. With over a decade of experience, Amey Porobo Dharwadker is a well-respected authority on the subject of recommender system design, implementation, and optimization.

The Business Mint named him Most Prominent Industry Expert of the Year – 2023 in Machine Learning Category in recognition of his remarkable impact on the Machine Learning (ML) and Artificial Intelligence (AI) industry.

Amey is currently the ML Technical Lead for Facebook Video Recommendations Core Ranking at Meta in California, USA. The success of Facebook Watch, which reaches over 1.25 billion users monthly, is directly attributable to his efforts to develop advanced ML ranking algorithms that improve the accuracy and effectiveness of video recommendations for billions of users around the world.

Mr. Amey is a leading expert in Machine Learning with a background in electrical engineering and a Bachelor of Science in Electronics and Communication Engineering from India’s National Institute of Technology Tiruchirappalli. In 2011, he began working for Analog Devices in Bengaluru, India, where he developed algorithms for an Advanced Driver Assistance System based on computer vision. Since joining Facebook in 2015, his contributions to the company’s News Feed, Ads, and Videos Ranking have been invaluable.

Through his work on embeddings for users and pages on Facebook News Feed, Amey Dharwadker has revolutionized the way billions of Facebook users discover and interact with relevant content. This work earned him a patent and international media recognition. He also contributed to solving the cold start problem for Facebook’s video recommender system, leading to increased business value. His research on addressing conformity bias and exploring user interests in recommender systems has been recognized with the acceptance of two papers for publication at the esteemed ACM WebConf (WWW) conference, showcasing the depth and specificity of his work. Additionally, he filed a patent for his Comment Moderation technology, aimed at protecting users against online bullying and harassment.

Furthermore, Amey is an outstanding leader and mentor to ML engineers and data scientists, guiding large cross-functional teams to achieve organizational goals. He is well-regarded in the AI and ML industry, known for his passion for advancing the field and his ability to explain its complexities to others. He is frequently invited to speak at prominent conferences such as the RE-WORK Enterprise Summit, MLConf and Data Innovation Summit, as well as share his insights in media publications. His deep knowledge and expertise have earned him invitations to serve as a jury member for renowned international awards, including the Edison Awards. Over his decade-long career, Mr. Dharwadker’s contributions have been recognized with numerous accolades, including the International Achievers’ Award and Scientist of the Year Award.

His technical expertise, leadership skills and global impact on the Machine Learning industry, particularly in recommender systems, make Amey Porobo Dharwadker a highly deserving winner of the Business Mint Award for Most Prominent Industry Expert of the Year – 2023 in the Machine Learning category.

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