Harsh Dani

Harsh Dani is a seasoned machine learning professional currently serving as a Staff Machine Learning Engineer/Scientist at Apple since January 2022, leading the development of advanced relevance and engagement models for ad placements. Prior experience includes a role as a Senior Machine Learning Engineer/Senior Applied Scientist at Scribd, where significant advancements in a related titles recommendation system were achieved through A/B testing and deep learning techniques. Harsh Dani also contributed to forecasting and anomaly detection at Uber as a Machine Learning Engineer, and focused on recommendation and ranking challenges at ipsy. Early in the career, research work was conducted at Arizona State University as a Graduate Research Assistant, specializing in machine learning techniques for linked data. Harsh Dani holds a Master's Degree in Computer Science from Arizona State University and a Bachelor's Degree in Computer Engineering from L.D. College of Engineering.