Abi AryanAbi is a "recovery data scientist" and an independent consultant with over 7 years of experience in the industry using ML research and adapting it to solve real-world engineering challenges for businesses for a wide range of companies ranging from e-ommerce, insurance and media & entertainment where she is responsible for machine learning infrastructure design and model development, integration and deployment at scale for data analysis, computer vision as well as natural language processing. Prior to consulting, Abi was a visiting research scholar at UCLA working at the Cognitive Sciences Lab with Dr. Judea Pearl on developing intelligent agents and has authored research papers in AutoML and Reinforcement Learning (latter accepted for poster presentation at AAAI 2020) and invited reviewer, area-chair and co-chair on multiple conferences including AABI 2023, PyData NYC '22, ACL '21, NeurIPS '18, PyData LA '18. She is also an author for an MLOps Course with Educative, Inc where she is teaching ML in Production to data scientists and software engineers covering fundamentals of data engineering, model packaging, distribution, monitoring, orchestration & observability and has taught Python and Machine Learning at several meetups for five years as Director for Women Who Code Los Angeles. Read More Read Less