Sudeep Das is a Machine Learning and Artificial Intelligence Researcher at Netflix. He is a technology leader with expertise in natural language processing, recommender systems, and information retrieval. His main work lies at the heart of applied machine learning algorithms that power highly personalized experiences within consumer facing products. He is specially passionate about applications of deep neural networks in the space of recommendations and search. Beyond algorithmic work, he is also keen on data visualization and interpretation. He has about a decade of experience in applied research in personalization, from building music recommendation systems at Beats Music (later Apple Music), to leading the restaurant recommendation efforts at OpenTable Inc. (Priceline). Currently, at Netflix, he leads several projects in the algorithmic innovation space that constantly aim to improve the personalized experience of hundreds of millions of Netflix members across the globe. Sudeep holds a PhD in Astrophysics from Princeton University, where he lead a research project that made possible the first detection of an elusive Astrophysical effect. He holds a strong publication record with about 60 papers with more than 2500 citations. Sudeep is extremely passionate about education and outreach, and has acted as a mentor and lecturer at machine learning workshops for the young students in the US (UC Berkeley) and in Mauritius, Rwanda and South Africa. He is also a visual artist, and dabbles in post impressionism and expressionism.