He works at the intersection of Big Data, large networks – Property Graphs or knowledge graphs, representation learning with Graph Neural Networks (GNNs), Natural Language Processing (NLP) and Understanding (NLU), model explainability using network visualization and vector search for information retrieval.
He is a startup product and engineering executive focused on building products driven by billion node+ networks. He has worked at cool places like Ning, LinkedIn and Hortonworks. He co-founded Deep Discovery to use networks, GNNs and visualizations to build an explainable risk score for KYC/AML.
He has a four-time O’Reilly author with 120 citations on Google Scholar for being the first to write about Agile Data Science – agile development as applied to Data Science and Machine Learning. He has an applied researcher and product manager with 17 years of experience building and shipping data-driven products.