About

Sanyam Kapoor is a highly skilled Machine Learning professional with a passion for research and innovation. He is currently working as a Research Intern at Netflix, where he is conducting research in probabilistic recommender systems. With a relevant experience of 0.95 years, Sanyam is a rising star in the field of Machine Learning. Sanyam has worked with some of the biggest names in the tech industry, including Amazon and Uber, where he has honed his skills in applied science and AI research. During his time at Amazon, he conducted research in multi-fidelity Bayesian optimization, while at Uber, he was part of the AI Resident program, where he was selected from a pool of applicants with a less than 1% acceptance rate. His research at Uber focused on approximate Bayesian inference. Sanyam's educational background is equally impressive, with a Doctor of Philosophy (PhD) in Data Science from New York University, which he is expected to complete in 2025. He also holds a Master of Science (MS) in Computer Science from New York University and a Bachelor of Technology (BTech) in Computer Science from the Indian Institute of Technology, Hyderabad. Sanyam's technical skills are a testament to his expertise in the field of Machine Learning. He is proficient in Research Scientist, ML, and AI, and has a deep understanding of probabilistic models, deep learning, and Bayesian inference. Overall, Sanyam Kapoor is a talented Machine Learning professional with a bright future ahead of him. With his strong academic background, technical skills, and experience in research, he is poised to make significant contributions to the field of Machine Learning.