COREY JAMES HULEN
Pilots at 7 St, Grayson, CA
License number
California A5049072
Issued Date
Jan 2012
Expiration Date
Jan 2017
Category
Airmen
Type
Authorized Aircraft Instructor
Address
Address
207 N 7Th St, Grayson, CA 95363
Professional information
Founder And Cto At Tempo Ai
Position:
Founder and CTO at Tempo AI
Location:
San Francisco Bay Area
Industry:
Computer Software
Work:
Tempo AI
- Menlo Park, CA since Dec 2011
-
Founder and CTO
Standford Research Institute
- Menlo Park, CA May 2011 - Dec 2011
-
EIR
Pricini.com (Earnstone Corporation)
- Patterson, CA Apr 2008 - May 2011
-
Founder and Chief Architect
Microsoft
- Redmond, WA Jul 2002 - Jan 2008
-
Senior Development Lead and Architect
VerticalNet
- San Francisco, CA Nov 1999 - Jul 2002
-
Senior Architect
Zot Technologies
- San Francisco, CA Jun 1996 - Nov 1999
-
Founder and Software Consultant
Skills:
Cloud Computing, Software Development, Scalability, Distributed Systems, Big Data, Hadoop, Machine Learning, Natural Language Processing, Artificial Intelligence, Business Intelligence, SharePoint, Data Warehousing, Visual Studio, Databases, Agile Project Management, JavaScript, Start-ups, Web Services, Web Applications, Testing
Tools And Techniques For Extracting Knowledge From Unstructured Data Retrieved From Personal Data Sources
US Patent:
2013011, May 2, 2013
Filed:
Nov 2, 2011
Appl. No.:
13/287983
Inventors:
Rajan Singh - San Jose CA, US
Madhu Yarlagadda - Los Altos CA, US
Corey Hulen - Patterson CA, US
Kenneth C. Nitz - Redwood City CA, US
William Scott Mark - San Mateo CA, US
Madhu Yarlagadda - Los Altos CA, US
Corey Hulen - Patterson CA, US
Kenneth C. Nitz - Redwood City CA, US
William Scott Mark - San Mateo CA, US
Assignee:
SRI INTERNATIONAL - Menlo Park CA
International Classification:
G06F 17/30
US Classification:
707741, 707769, 707E17002, 707E17008, 707E17015
Abstract:
A system may include multiple personal data sources and a machine-implemented data extractor and correlator configured to retrieve personal data from at least one of the personal data sources. The data extractor and correlator may extract information from unstructured data within the retrieved personal data and correlate the extracted information with previously stored structured data to generate additional structured data. The system may also include a storage device configured to store the previously stored structured data and the additional structured data. A natural language query module may be configured to receive a natural language query from a user and provide a response to the natural language query based at least in part on one or both of the previously stored structured data and the additional structured data.
Method And Apparatus For Enhancing A Calendar View On A Device
US Patent:
2014003, Feb 6, 2014
Filed:
Aug 3, 2012
Appl. No.:
13/566476
Inventors:
RAJAN SINGH - San Jose CA, US
COREY HULEN - Patterson CA, US
MADHAV VAIDYANATHAN - Sunnyvale CA, US
SCOTT BISHEL - Erie CO, US
COREY HULEN - Patterson CA, US
MADHAV VAIDYANATHAN - Sunnyvale CA, US
SCOTT BISHEL - Erie CO, US
Assignee:
TEMPO AI, INC. - Menlo Park CA
International Classification:
G09G 5/00, G09G 5/377
US Classification:
345629, 345619
Abstract:
An apparatus and computer-implemented method for enhancing a calendar view on a device comprising extracting data from a user's linked data store, processing the data to recognize one or more entities within the data, inferring correlations between the entities, supplementing existing calendar entries on the user's device with the inferred correlations, creating new entities and displaying one or more actions to the user based on the context of a selected calendar entry.