Khushhall Chandra Mahajan

Vancouver, Canada

Khushhall Chandra Mahajan is a Senior Machine Learning Engineer and Researcher working in recommendation systems. Presently, he is an integral part of the Video Recommendations team at Meta, where he plays a pivotal role in crafting cutting-edge ML algorithms. These algorithms directly enhance the accuracy and impact of video recommendations used by billions of users worldwide. His work powers the recommendation engine for Facebook Watch and Reels, reaching over 1.25 billion users monthly. Prior to this role, he was in the Ads team, developing innovative Ads solutions that drove top-line revenue for the company. He has published several research papers in the domain of machine learning and recommendation systems. His research interest focuses on exploration & diversity in recommendation system and realtime ranking. Additionally, he has served on the program committee of various top-tier international machine learning conferences such as NeurIPS, ICLR, ECIR, AISTATS, etc and organizer of the VideoRecsys workshop in ACM RecSys conference. As a fascinating side note, his innovation extends beyond machine learning; he has also developed the Swarachakra Bangla Android keyboard, which has garnered over a million downloads.

Khushhall's Work

Khushhall's Publications

January 30, 2024

Research

CAViaR: Context Aware Video Recommendations

Khushhall Chandra Mahajan, Aditya Palnitkar, Ameya Raul, Brad Schumitsch

January 30, 2024

January 30, 2024

Research

PIE: Personalized Interest Exploration for Large-Scale Recommender Systems

Khushhall Chandra Mahajan, Amey Porobo Dharwadker, Romil Shah, Simeng Qu, Gaurav Bang, Brad Schumitsch

January 30, 2024