Mike Sorah Email & Phone Number | Co-Founder and Chief Technologist of IMT Holdings, Corp. and Rosoka Software. Mr. Sorah is technology executive responsible for providing the technology vision for the company as well as leading software engineers in the engineering organization. Author of Rosoka the first truly multilingual Natural Language Processing software package for performs named entity extraction, salience, polarity, and entity relationship detection. Rosoka supports 230 languages out of the box with no separate per language fees. Take your text analytics and information extraction international with Rosoka. Rosoka is highly scalable with customers processing 10's of millions of documents collected daily from around the world. Rosoka NLP is in use for processing financial, pharmacological, law enforcement, competitive intelligence and many more areas taking advantage of you Big Data unstructured text stores. Rosoka GeoGravyTM software provides the benefit of adding locations, cities, buildings, roads, landmarks and facilities to your Big Data management solutions. With our industry leading software, you can now include geospatial entities to your solutions and provide users a new level of analysis and visibility. Making Multilingual products for a multilingual world. Mr Sorah has led projects in Distributed computing, remote sensing, device physics, structures, antennas, optics, electromechanical devices, manufacturing, process computer systems, and performance prediction. Specialties: Quantum mathematics, Cognitive Linguistics for extracting entities and relationships between salient information from documents. Language independent information theory and extraction.

Mike Sorah

Co-Founder and Chief Technologist of IMT Holdings, Corp. and Rosoka Software. Mr. Sorah is technolog...
Centreville, Virginia, United States

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Mike Sorah’s Email msorah@rosoka.com

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Mike Sorah’s Location Centreville, Virginia, United States

Mike Sorah’s Current Industry Rosoka Software

Mike Sorah’s Prior Industry Venturing Crew 5 | Nci Information Systems | Lockheed Martin

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Work Experience

Rosoka Software

CTO

2008-02-01 00:00:00 - Present

Venturing Crew 5

Advisor

2010-01-01 00:00:00 - 2016-01-01 00:00:00

Nci Information Systems

Systems Enginer Principal

2010-09-01 00:00:00 - 2011-10-01 00:00:00

Lockheed Martin

Chief Engineer, Senior Systems Engineer

1981-06-01 00:00:00 - 2010-09-01 00:00:00

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FAQ About Mike Sorah

Mike Sorah is located at
Centreville, Virginia, United States

Mike Sorah is a Co-Founder and Chief Technologist of IMT Holdings, Corp. and Rosoka Software. Mr. Sorah is technology executive responsible for providing the technology vision for the company as well as leading software engineers in the engineering organization. Author of Rosoka the first truly multilingual Natural Language Processing software package for performs named entity extraction, salience, polarity, and entity relationship detection. Rosoka supports 230 languages out of the box with no separate per language fees. Take your text analytics and information extraction international with Rosoka. Rosoka is highly scalable with customers processing 10's of millions of documents collected daily from around the world. Rosoka NLP is in use for processing financial, pharmacological, law enforcement, competitive intelligence and many more areas taking advantage of you Big Data unstructured text stores. Rosoka GeoGravyTM software provides the benefit of adding locations, cities, buildings, roads, landmarks and facilities to your Big Data management solutions. With our industry leading software, you can now include geospatial entities to your solutions and provide users a new level of analysis and visibility. Making Multilingual products for a multilingual world. Mr Sorah has led projects in Distributed computing, remote sensing, device physics, structures, antennas, optics, electromechanical devices, manufacturing, process computer systems, and performance prediction. Specialties: Quantum mathematics, Cognitive Linguistics for extracting entities and relationships between salient information from documents. Language independent information theory and extraction.