Grishma is a Data Scientist with the UX Research and Design team at IBM Data & AI in San Francisco. She works across portfolios along with user research and design teams and uses data to understand users' struggles and find opportunities to enhance their experience. Grishma earned her Masters in Computer Science at University of Pennsylvania. Her research interests are in Machine Learning and Natural Language Processing. She has spoken and facilitated workshops at multiple conferences including PyCon US and O'Reilly OSCON.

Introduction to AI/ML for Software Engineers" is a fast-paced learning path on machine learning from a software professional's point of view. The class is designed with the goal of providing students with a hands-on introduction to machine learning concepts and systems, as well as giving them the practical skills to walk away with the foundational skills to embark on ML projects in a professional setting. Over the course of two days, attendees will be put through several hands-on exercises that stimulate learning through writing and executing code, instead of passive lectures. Students will get first-hand experience at cleaning data, implementing machine learning programs, and solving real problems in tuning, deploying, scaling, and maintaining machine learning systems. Each attendee will be provided with a comprehensive virtual machine programming environment that is preconfigured for the tasks in the learning path, as well as any future machine learning experimentation and development that they will do.