Isaac Cheng currently works on several software components of IBM Data and AI Knowledge Graph, which are essential to the efficient machine learning of entities and relations from textual documents like Wikipedia, medical journals, patents, and other documents. He designs application programming interface (API) and implements components to provide performance and stability optimizations.
Previously, Isaac worked on the Data Access Service (DAS3) enabling SIIP to query Vivisimo with facets and to query Solr with optional and configurable SQL decorators. He also worked on the Intelligent Document Gateway (IDG) for ibm.com and the Custom Call Flow (CCF) runtime software components. In the area of data management, Isaac developed the DB2 Everyplace Synchronization Server, XML Extender, and Net.Data. Isaac holds a Master of Science (Computer Science) degree and a Bachelor of Arts (Computer Science) degree, both from the University of California, Berkeley, U.S.A.