LLMOps

Abi is a “recovery data scientist” and an independent consultant with over 7 years of experience in the industry. She uses ML research and adapts it to solve real-world engineering challenges for a wide range of companies, including e-commerce, insurance, and media & entertainment. Her responsibilities include machine learning infrastructure design and model development, integration, and deployment at scale for data analysis, computer vision, and 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. She has authored research papers in AutoML and Reinforcement Learning (latter accepted for poster presentation at AAAI 2020) and served as 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, teaching ML in Production to data scientists and software engineers covering fundamentals of data engineering, model packaging, distribution, monitoring, orchestration & observability. Abi has also taught Python and Machine Learning at several meetups for five years as Director for Women Who Code Los Angeles.