Conceived and helped implement the Cloud Migration Readiness (CMR) Service to enable enterprises to assess which on-premise applications and workloads are best suited for migration to public or private cloud without compromising performance or incurring undue costs. Hands-on contribution to the design and development of the CMR technology that leverages state-of-the-art dependency analysis, machine learning techniques, placement analysis and software simulation to deliver the service.
As founding CTO and VP of Engineering, I was responsible for multiple generations of the Xangati suite of real-time performance monitoring and cross-silo machine-learning-driven analytics products spanning all silos of IT and cloud infrastructure as well as specialized applications such as VDI. I also served as CEO for a year (2012-13) and raised venture as well as corporate series B funding ($11M). Xangati's technology is the subject of over eight issued patents. Xangati was acquired in 2016 by Virtual Instruments.
As founding CTO and VP of Engineering, I was responsible for the netZentry product set designed to provide real-time machine-learning-driven defense against software attacks such as DDoS and zero-day worms. The netZentry technology is the subject of four issued patents.
Principal investigator for the coarse-grain dataflow project funded by NSF and the network stack parallelization project funded by Mitsubishi Electric. Worked on several other R&D projects, including the Eazyflow Supercomputer project funded by DARPA and the seminal IDES and NIDES intrusion detection projects funded by the US NAVY and NSA.
Project Management, Resource Management, Product Ownership, Distributed Systems, Digital Product Development
Doctor of Philosophy (Ph.D.) Field Of Study Computer Science - University of Waterloo1982 - 1988
Computer Science - University of Waterloo1980 - 1981
B.S. (First Class Honors) Field Of Study Computer Science - University of Calgary1975 - 1979
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