Amey Porobo Dharwadker

Amey Dharwadker

I'm a Machine Learning Engineering Manager at Meta, leading Facebook's Video Recommendations Quality Ranking team. My team's work improves video recommendations for over 2 billion daily users, focusing on content quality enhancements and engagement optimization.

My contributions extend to Facebook News Feed Recommendations and Ads Ranking systems, where my work drove significant improvements in user engagement and revenue across Meta's platforms.

I graduated from Columbia University with MS in Electrical Engineering specializing in Computer Vision. I worked with Prof. Shih-Fu Chang on Video Action Recognition in the Wild.

Before that, I worked on computer vision based Advanced Driver Assistance System (ADAS) algorithms at Analog Devices. I obtained my undergraduate degree from NIT Tiruchirappalli.

I'm passionate about pushing the boundaries of AI to create personalized, meaningful digital experiences at global scale. My interests lie in Recommender Systems, Information Retrieval and Deep Learning. I thrive on tackling problems where optimization metrics are complex and good user experience is hard to formalize.


News

Oct 2024

Appeared on the Recommender Systems Experts (Recsperts) podcast to discuss my work on Facebook's billion-scale video recommendations products.

Sep 2024

Nominated as AI/ML industry expert judge for the prestigious CES 2025 Innovation Awards.

Sep 2024

Invited as a Program Committee Member for the International Conference on Learning Representations (ICLR) 2025.

Jun 2024

Invited as a Program Committee Member for the AAAI Conference on Artificial Intelligence 2025.

Apr 2024

Gave a talk on "Supercharging Recommendation Systems with Large Language Models" at Machine Learning Prague 2024.

Mar 2024

Served as Program Committee Member for ACM RecSys 2024, KDD 2024 and CIKM 2024 conferences.

Feb 2024

Featured on Analytics India Magazine discussing my work on video recommendations at Meta.

Jan 2024

Discussed my work on large-scale recommendations in an interview with AI Mazagine.

Oct 2023

Gave a talk on "The Large Language Model Revolution in Recommender Systems Personalization" at Packt's Put Generative AI To Work Conference.

Sep 2023

Served as Program Committee Member for the ACM Web Conference 2024.

Sep 2023

Gave a talk on Unlocking Personalization in Large-Scale Recommendations at SMU. Thanks for the invitation, Prof. Hady W. Lauw and ACM SIGKDD Singapore.

Sep 2023

Organized the VideoRecSys Workshop at RecSys 2023 conference in Singapore (Recording).

Sep 2023

Nominated as AI/ML industry expert judge for the prestigious CES 2024 Innovation Awards.

Nov 2022

Served as Program Committee Member for UMAP 2023 Conference.

Aug 2023

Served as Program Committee Member for AAAI Conference on Artificial Intelligence 2024.

May 2023

Served as Program Committee Member for ACM RecSys 2023 and CIKM 2023 conferences.

May 2023

Invited guest on The AI Podcast with Jay Shah, discussing my work leveraging AI and ML to build and improve large-scale recommendations ranking products at Facebook.

May 2023

Talked about Mastering the Art of Recommender System Evaluation at Data Innovation Summit 2023 in Stockholm, Sweden.

May 2023

Chaired an E-commerce research session at ACM Web Conference 2023 in Austin, USA.

Apr 2023

Invited as a Program Committee Member for ECAI Prestigious Applications of Intelligent Systems 2023 Conference.

Mar 2023
Mar 2023

Invited to judge the Globee Information Technology Awards, a premier global recognition that celebrates excellence and innovation in the ever-evolving world of technology.

Feb 2023

Talked about Trends in Personalized Video Recommendations at the RE•WORK Enterprise AI Summit 2023 in San Francisco, USA.

Jan 2023
Dec 2022

Expert commentary on how AI helps people with disabilities featured in this Lifewire article.

Dec 2022

Invited to judge the prestigious Edison Awards, honoring excellence in innovation, new product development, marketing and design.

Nov 2022

Served as Program Committee Member for UMAP 2023 conference.

Nov 2022

Expert commentary on impact of AI generative art on kids featured in this Lifewire article.

Nov 2022

Served as Program Committee Member for the IEEE ISCAS 2023 conference.

Oct 2022

Served as Program Committee Member for ACM Web Conference 2023 and ECIR 2023.

Sep 2022

Invited reviewer for the AISTATS 2023 conference.

Nov 2020

Patent Issued - Embeddings for Feed and Pages (filed in March 2017).