A Dynamic Technology Leader Advancing AI and Data Science Innovation
Associated with :
IBMYiwen Li serves as a Software Engineer and Developer Advocate at IBM's Center for Open Source Data & AI Technologies (CODAIT), where she combines her expertise in data science, machine learning, and product management. After beginning her career at IBM as a summer intern in Watson Cognitive Applications, she progressed to roles in software engineering and data science, focusing on developing Model Asset eXchange (MAX) and Data Asset eXchange (DAX) solutions. Her contributions include creating AI solutions for questions answering, recommender systems, and code analysis using the Project CodeNet dataset. As a frequent speaker at major technology conferences including JupyterCon, PyCon, and Global AI Tour, she has shared her expertise with hundreds of attendees. Her work spans developing data science solutions, creating code samples and tutorials for technical audiences, and building metrics dashboards to drive data-based decision-making. She currently serves as Chair of the Outreach Committee for the LF AI & Data Foundation, demonstrating her commitment to advancing open-source AI technologies.