First 5 Santa Clara County
Early Learning Data Coordinator
Second Family Childcare 2005 - Apr 2018
Program Administrator at Second Family Child Care
Digital Media Academy May 2015 - Aug 2015
Logistics Coordinator
California State University, East Bay Aug 2012 - Jul 2014
Data Manager For Hayward Promise Neighborhood
United Administrative Services 2009 - 2009
Programmer Analyst
Education:
San Francisco State University 1982 - 1985
Bachelors, Bachelor of Science, Computer Science
Bronx Hs of Science 1974 - 1978
Bronx High School of Science
Skills:
Program Management Databases Software Documentation Analysis Software Project Management Integration Project Management Training Software Development Sql Quality Assurance Data Analysis Team Management Leadership Business Intelligence Computer Science Software Quality Assurance Technical Writing Logistics Event Planning Programming Enterprise Resource Planning Social Services Business Manager Python Tutoring Process Improvement Rpg Standardized Test Preparation Volleyball Coaching Soccer Coaching
- 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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