Worldeyecam
Director of Global Alliances
Strategy Consultant Sep 2006 - Dec 2010
Business Strategy Consultant
Social Networking Advisors Sep 2006 - Dec 2010
Chief Operating Officer
Adp Feb 2004 - Jul 2006
District Manager
Open To Opportunities
Civil Engineer E.i.t
Newpark Resources Jun 2014 - Jun 2019
Drilling Fluids Specialist
M-I Swaco Sep 2011 - Jun 2014
Drilling Fluids Specialist
University of Colorado Denver May 2009 - Aug 2009
Research Assistant
Liberty Heights Retirment Community Jul 2006 - May 2009
Security Specialist
Education:
University of Colorado Denver 2008 - 2010
Bachelors, Bachelor of Science, Civil Engineering
Pikes Peak Community College 2006 - 2008
Associates, General Studies
Wood Working Children Rock Climbing Education Structural Engineering Environment Science and Technology Disaster and Humanitarian Relief Human Rights Forensic Engineering Arts and Culture
Certifications:
E.i. Engineer In Training (Eit) Certification License 66578 Colorado State Board of Licensure For Architects, Professional Engineers, and Professional Land Surveyors, License 66578
- South San Francisco CA, US Mirza Akbar Shah - South San Francisco CA, US Lorin Vandegrift - South San Francisco CA, US Luke Fraser - South San Francisco CA, US Jariullah Safi - South San Francisco CA, US Jeffrey Gee - South San Francisco CA, US
One variation of a method for tracking placement of products in a store includes: accessing an image recorded by a mobile robotic system within a store; detecting a shelf in a region of the image; based on an address of the shelf, retrieving a list of products assigned to the shelf by a planogram of the store; retrieving a set of template images—from a database of template images—defining visual features of products specified in the list of products; extracting a set of features from the region of the image; determining that a unit of the product is mis-stocked on the shelf in response to deviation between the set of features and features in a template image, in the set of template images, representing the product; and in response to determining that the unit of the product is mis-stocked on the shelf, generating a restocking prompt for the product.
Method For Tracking Placement Of Products On Shelves In A Store
- South San Francisco CA, US Mirza Akbar Shah - South San Francisco CA, US Lorin Vandegrift - South San Francisco CA, US Luke Fraser - South San Francisco CA, US Jariullah Safi - South San Francisco CA, US Jeffrey Gee - South San Francisco CA, US
One variation of a method for tracking placement of products in a store includes: accessing an image recorded by a mobile robotic system within a store; detecting a shelf in a region of the image; based on an address of the shelf, retrieving a list of products assigned to the shelf by a planogram of the store; retrieving a set of template images—from a database of template images—defining visual features of products specified in the list of products; extracting a set of features from the region of the image; determining that a unit of the product is mis-stocked on the shelf in response to deviation between the set of features and features in a template image, in the set of template images, representing the product; and in response to determining that the unit of the product is mis-stocked on the shelf, generating a restocking prompt for the product.
Ranking Carousels Of On-Line Recommendations Of Videos
- Redmond WA, US Yulia Astakhova - Oakland CA, US Deepak Kumar - Mountain View CA, US Konstantin Salomatin - San Francisco CA, US Jeffrey Douglas Gee - San Francisco CA, US Mahesh S. Joshi - Belmont CA, US Shivani Rao - Mountain View CA, US
International Classification:
H04N 21/475 H04N 21/466 H04N 21/478
Abstract:
The recommendation system provided with an on-line connection system identifies on-line recommendations of videos and generates a user interface (UI) by including into the resulting presentation selected recommendations of videos. The recommendations of videos presented in the UI are organized into groups that are topically coherent, where each group is decorated with a context annotation—an explanation of why the recommendations in a given carousel are relevant for a member. Each video that is being evaluated by the recommendation system with respect to a subject member profile is assigned an annotation that is selected from a plurality of potentially applicable annotations. The technical problem of optimizing an order of presentation of recommendations grouped by context annotations, in a UI where annotations drive the layout, is addressed by deriving ranks for different context annotations based on global and personalized click through rates and using these values assigned to respective context annotations in constructing the UI.
- Mountain View CA, US Prachi Gupta - San Mateo CA, US Félix Joseph Étienne Pageau - San Francisco CA, US Alexandre Patry - Pleasanton CA, US Jeffrey Douglas Gee - San Francisco CA, US Jeffrey Chow - South San Francisco CA, US Heloise Hwawen Logan - Sunnyvale CA, US Luke John Duncan - San Francisco CA, US Evan Farina - San Francisco CA, US
International Classification:
G06Q 50/00 G06Q 10/10 H04L 12/58
Abstract:
A system, a machine-readable storage medium storing instructions, and a computer-implemented method are directed to a Digest Engine that identifies a feature(s) that is predictive of relevance, to a target member account in a professional social network, of content from a member group(s) to which the target member account is subscribed. Based on the feature(s), the Digest Engine determines a portion(s) of relevant content created amongst respective member accounts subscribed to the member group(s). The Digest Engine generates a persistent message providing access to the portion(s) of relevant content. The Digest Engine sends the persistent message to the target member account.
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