Dolf Starreveld.

Dolf Starreveld is among the leading software architects in Silicon Valley, with a long track record of success applying his expertise in engineering strategy, process and product architectures.

Mr. Starreveld has been a fixture in Silicon Valley since the early 1990s when he co-founded Storm Technology, Inc. with Dr. Ligtenberg focusing on the emerging JPEG standard.  He was a member of the JPEG standardization committee and implemented hardware (DSP based) accelerators for image compression and video on Sun, Macintosh and PC platforms. He was responsible for leading hardware and software teams, and he developed desktop applications for Macintosh and Windows, centered around organizing and manipulating photographic images. He was also involved in the management of manufacturing of plugin-boards and photo scanners, working with domestic and overseas factories.  Prior to his arrival in Silicon Valley, Mr. Starreveld worked in Europe focusing on operating systems and compilers, as well as image processing and networking.  Among other things, he was one of the first Macintosh developers in Europe and worked for Apple General European Area to train Apple developers.

Mr. Starreveld has advised numerous companies, including providing critical strategic advice on defining and implementing technical architecture, and assembling the right engineering teams. This experience spans in-depth work in areas including large scale web applications, cloud-based parallel computing solutions such as eHarmony’s matching system, distributed systems, certified time delivery, freight consolidation and matching, designing and implementing high capacity, fault tolerant data centers, image processing and geometry detection, web services, SAAS, geo information systems and mapping, aeronautical mapping, high performance email campaign delivery systems, server/client architectures, media players, etc.

Mr. Starreveld has a master’s degree from the University of Amsterdam, in High Energy Physics with a double minor in computer science, and did PhD research on parallel computing topics.