Wojciech Indyk has been working on Big Data for over 8 years. He has got academic research, applied industry and industry research lab experience. He is an author of 11 scientific papers regarding distributed machine learning systems. Wojciech pays attention to understanding of the state-of-the-art big data solutions.
He is passionate about machine learning, distributed data processing (DAG, mapReduce, Bulk Synchronous Parallel), graph structures and algorithms, data mining and software architecture. From time to time Wojciech supports open-source communuty with contributions to top Big Data and ML projects, like H2O.ai, Spark, Sparkling Water, Hive and Camel.
He is currently excited to be bringing all of these skills and interests together working on Humn.ai’s streaming analytics insurance platform.