Exostellar Inc.
Robbert Van Renesse has a diverse work experience spanning several industries and roles. Robbert is currently working at Exostellar Inc. as the Co-Founder and Chief Scientist since April 2023, and they previously served as the Co-Founder and Chief Operating Officer from April 2018 to April 2023.
Before that, Robbert worked at Cornell University, holding various research positions. Robbert was a Research Professor starting from January 2017, a Principal Research Scientist from January 2006 to January 2017, a Senior Research Associate from January 1996 to January 2006, and a Research Associate from January 1991 to January 1996.
Additionally, Robbert worked as a Technical Advisor at FAST Search & Transfer, ASA from 2000 to April 2023, and as a consultant at Amazon.com in 2005. Robbert also served as the Vice President at Reliable Network Solutions (Startup), USA from 1998 to 2002.
Earlier in their career, Robbert worked as a Consultant at Isis Distributed Systems from 1991 to 1993 and as a Research Scientist at AT&T Bell Laboratories from June 1990 to January 1991.
Robbert's educational background includes undergraduate, masters, and Ph.D. studies at Vrije Universiteit Amsterdam, where they were involved from 1980 to 1989.
Robbert Van Renesse attended Vrije Universiteit Amsterdam (VU Amsterdam) from 1980 to 1989. Robbert also attended Amsterdams Lyceum and Cornelis Vrijschool, but the specific years and degrees obtained are unknown.
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Exostellar Inc.
Exostellar, Inc. is a next-generation cloud resource optimization and management platform that uses cutting-edge distributed container infrastructure as well as Artificial intelligence (AI) and Machine Learning (ML) to help enterprises reduce spending in the cloud by up to 90%, while enhancing both operational security and performance We help enterprise companies achieve cloud optimizations and cost reductions without service interruptions. - Lower costs by up to 90% - No service interrupts, even for stateful applications - Support legacy applications without any modifications - Any cloud - AWS, google, Azure, VMWare, etc - Works for Kubernetes and cloud-native application containers - Reduce job completion time and improve customer experience
Employees
11-50