Bio
Rishabh Misra is a Senior Machine Learning Engineer by profession and has many years of experience in developing large-scale Language Models and Machine Learning systems for improving user experience. He has published highly-cited research and also contributes as a Program Committee member at some of the top Machine Learning and AI conferences (like ICML, KDD, WWW, SIGIR, RecSys, etc), where he lends his expertise in Recommender Systems, Language Models, Natural Language Processing, and Applied Machine Learning. He combines his past engineering experiences in designing large-scale systems, working at Amazon, Arcesium (a D.E. Shaw company), and Twitter, and research experiences in Applied Machine Learning to develop distributed Machine Learning relevance systems at Attentive. He is passionate about identifying novel and practical problems and has tackled many interesting ones over the years like filtering spoilers, sarcasm detection, curbing fake news/misinformation/abuse/spam, clothing size recommendation, improving conversational experience, and so on. He is a published book author via Sculpting Data for ML – which talks about approaching Machine Learning from a data-centric view and providing a step-by-step guide to curate quality datasets (w/ forewords from prominent folks in the ML community). In his downtime, he enjoys watching sci-fi shows, gaming, and spending time with his family. He presently lives in San Francisco, California, and you can visit him online at rishabhmisra.github.io.
Sessions By This Speaker
