Ganesh Krishnan - Cupertino CA, US Sarang Kulkarni - Sunnyvale CA, US Dharmesh Dadbhawala - Mountain View CA, US
International Classification:
G06F017/30
US Classification:
707203000
Abstract:
A method, system and computer program product for managing information is disclosed. The information is stored in a database accessible to a plurality of users. A part of the information is isolated from the database. A user can modify the isolated part of the information. The modified information is compared with the isolated information and a set of changes is extracted from the comparison. The set of changes are appended to the information in the database. Each part of the information in the database has a version associated with it. When changes to a part of the information are appended, the modified part is versioned in an incremental fashion. Prior versions of a part of the information can be accessed and modified by the users.
User Interface For Showing Availability Of Orders For Concierge Shopping Service
- San Francisco CA, US Michael Righi - Cary NC, US Graham Adeson - San Francisco CA, US Ross Stuart Williams - Mill Valley CA, US Aman Jain - Toronto, CA Radhika Anand - Sunnyvale CA, US Ganesh Krishnan - San Francisco CA, US
International Classification:
G06Q 30/06
Abstract:
For each retailer in the geographic region, an online system predicts a number of orders placed at the retailer and a capacity to fulfill orders during a forecast time period. The capacity of the retailer is predicted based on a number of pickers expected to be available to the retailer during the forecast time period. The online system determines demand for the services of a picker at the retailer based on a comparison of the predicted number of orders and the predicted capacity to fulfill those orders. The online system displays a user interactive map of the geographic region to the picker. The map displays a pin at the location of each retailer in the geographic region, which describes the categorization determined for the retailer. The picker selects a pin, which causes the user interactive map to display a notification characterizing the demand for services at the retailer.
Machine Learning Model Trained To Predict Conversions For Determining Lost Conversions Caused By Restrictions In Available Fulfillment Windows Or Fulfillment Cost
- San Francisco CA, US Ganesh Krishnan - San Francisco CA, US Qianyi Hu - San Francisco CA, US Aishwarya Balachander - San Ramon CA, US George Ruan - San Jose CA, US Soren Zeliger - Oakland CA, US Mike Freimer - Mill Valley CA, US Aman Jain - Toronto, CA
An online concierge system trains a machine learning conversion model that predicts a probability of receiving an order from a user when the user accesses the online concierge system. The conversion model predicts the probability of receiving the order based on a set of input features that include price and availability information. For each access to the online concierge system, the online concierge system applies the conversion model to a current price and availability and to an optimal price availability. The online concierge system generates a metric as the difference between the two predicted probabilities of receiving an order.
Adjusting Demand For Order Fulfillment During Various Time Intervals For Order Fulfillment By An Online Concierge System
- San Francisco CA, US Ji Chen - Mountain View CA, US Zi Wang - Mountain View CA, US Soren Zeliger - Oakland CA, US Ganesh Krishnan - San Francisco CA, US Wa Yuan - Alameda CA, US Michael Scheibe - San Francisco CA, US
An online concierge system allows users to order items within discrete time intervals later than a time when an order was received or for short-term fulfillment when the order was received. To account for a number of shoppers available to fulfill orders during different discrete time intervals and numbers of orders for fulfillment during different discrete time intervals, the online concierge system specifies a target rate for orders fulfilled later than a specified discrete time interval and a threshold from the target rate. A trained machine learning model periodically predicts a percentage of orders being fulfilled late, with an order associated with a predicted percentage when the order was received. The online concierge system increases a price of orders associated with predicted percentages greater than the threshold from the target rate. The increased price of an order is determined from a price elasticity curve and the predicted percentage.
- Bentonville AR, US Vikas Bhat - Newark CA, US Ganesh Krishnan - Fremont CA, US Venkatesh Kandaswamy - San Ramon CA, US
Assignee:
Walmart Apollo, LLC - Bentonville AR
International Classification:
G06F 3/06 G06F 16/51
Abstract:
Some embodiments can include a system. In many embodiments, a system can comprise one or more processors and one or more non-transitory storage devices storing computing instructions configured to run on the one or more processors and perform: dividing a computer file into two or more portions; calculating a respective unique identifier for each respective portion of the two or more portions; creating two or more respective computer file portion replicas of each respective portion of the two or more portions, wherein each respective computer file portion replica of the two or more respective computer file portion replicas: can be for a corresponding portion of the two or more portions; and can comprises a same one of the respective unique identifier as the corresponding portion of the two or more portions; and facilitating storage of the two or more respective computer file portion replicas on a distributive data storage cluster. Other embodiments are disclosed herein.
- Bentonville AR, US Vikas Bhat - Newark CA, US Ganesh Krishnan - Fremont CA, US Venkatesh Kandaswamy - San Ramon CA, US
Assignee:
Walmart Apollo, LLC - Bentonville AR
International Classification:
G06F 3/06 G06F 16/51
Abstract:
Some embodiments can include a system. In some embodiments, a system can comprise one or more processors and one or more non-transitory storage devices storing computing instructions configured to run on the one or more processors and perform acts. In many embodiments, the acts can comprise dividing a computer file into two or more portions; calculating a portion hash value for each portion of the two or more portions, wherein each portion hash value for each portion of the two or more portions can be different than other portion hash values for other portions of the two or more portions; creating two or more computer file portion replicas of each portion of the two or more portions, wherein each of the two or more computer file portion replicas for a corresponding portion of the two or more portions can comprise a same portion hash value as the corresponding portion of the two or more portions; sending the two or more computer file portion replicas to a distributive data storage cluster, the distributive data storage cluster comprising two or more storage nodes; storing each of the two or more computer file portion replicas in the two or more storage nodes. Other embodiments are disclosed herein.
Systems And Methods For Collecting And Updating Online Product Content
- Bentonville AR, US Ganesh Krishnan - Fremont CA, US Scott Fish - San Carlos CA, US Rohit Deep - Union City CA, US
Assignee:
WAL-MART STORES, INC. - Bentonville AR
International Classification:
G06Q 30/06 H04L 29/08 G06F 17/27
Abstract:
Systems and methods including one or more processing modules and one or more non-transitory storage modules storing computing instructions configured to run on the one or more processing modules and perform acts of determining that content for a product in an electronic catalog for display on a webpage of an online retailer comprises incorrect content or is missing content, coordinating a first display on mobile electronic devices of a plurality of users of a request to provide additional content that (1) replaces the incorrect content for the product in the electronic catalog or (2) provides the missing content for the product in the electronic catalog, receiving the additional content for the product from the mobile electronic devices of the plurality of users, and coordinating a second display of the additional information of the product on the one or more webpages of the online retailer.
- Bentonville AR, US Vikas Bhat - Newark CA, US Ganesh Krishnan - Fremont CA, US Venkatesh Kandaswamy - San Ramon CA, US
Assignee:
WAL-MART STORES, INC. - Bentonville AR
International Classification:
G06F 3/06
Abstract:
In some embodiments, a method can comprise dividing an image into two or more portions and calculating a portion hash value for each portion of the two or more portions, each portion hash value for each portion of the two or more portions is different than an other portion hash value for other portions of the two or more portions. The method can further comprise creating one or more image portion replicas of each portion of the two or more portions by replicating each portion of the two or more portions by a replication factor, the one or more image portion replicas comprising the same portion hash value as each portion of the two or more portions. The method can further comprise sending the one or more image portion replicas to a distributive data storage cluster, the distributive data storage cluster comprising two or more storage nodes, and storing each of the one or more image portion replicas in the two or more storage nodes. Other embodiments of related methods and systems are also provided.
Name / Title
Company / Classification
Phones & Addresses
Ganesh Krishnan President
UMA COMPUTER SOFTWARE GROUP, INC
11671 Timber Spg Ct, Cupertino, CA 95014
Ganesh Krishnan Principal
Lotus Blue Assets LLC Business Services at Non-Commercial Site
LinkedIn since Oct 2010
Sr. Director Engineering and Security
Yahoo! Inc Aug 2001 - Oct 2010
Vice President and CISO (Chief Paranoid Yahoo!)
Education:
Purdue University 1996 - 1997
MS, Computer Science
B. M. S. College of Engineering 1992 - 1996
B.E, Computer Science
Apeejay School 1990 - 1992
Skills:
Security Information Security Engineering Management Scalability Security Engineering Web Application Security Firewalls Software Development Cloud Computing Internet Security Information Security Management Saas Product Development Security Operations Leadership Sso E Commerce Product Management Management Risk Management High Availability
Google
Technical Program Manager
Deloitte Feb 2013 - Aug 2016
Management Consultant
Ibm May 2012 - Aug 2012
Extreme Blue Mba Intern
Csc Dec 2007 - Apr 2012
Senior Consultant
Csc May 2007 - Nov 2007
Consultant
Education:
University of Michigan - Stephen M. Ross School of Business 2009 - 2013
Master of Business Administration, Masters
University of Michigan Dec 2012
Master of Business Administration, Masters
Lamar University 2003 - Dec 2004
Master of Science, Masters, Computer Science
Bharathiar University May 2001
Bachelors
Bharathiar University College of Arts and Science 1997 - 2001
Bachelor of Engineering, Bachelors, Computer Science
Skills:
Business Analysis It Strategy Sdlc Program Management Project Management Cross Functional Team Leadership Strategy Software Project Management Agile Methodologies Business Intelligence Integration Consulting Software Development Life Cycle Process Improvement Business Strategy Management Consulting Strategic Planning Product Development Requirements Analysis Change Management Data Analysis Sql Management Business Process Improvement Leadership Databases Software Development Product Management Solution Architecture Business Process Enterprise Architecture Testing Project Delivery Pmp Requirements Gathering Pmo Business Transformation Vendor Management Competitive Analysis Java Oracle Scrum Java Enterprise Edition Csm Agile and Waterfall Methodologies Machine Learning Nosql Analytics Big Data
Interests:
New Technologies Books Sports
Languages:
Tamil
Certifications:
Certified Scrummaster Project Management Professional (Pmp) Enterprise Connectivity With J2Ee V1.3 Object Oriented Analysis and Design With Uml Java Programmer 1.4 Scrum Alliance Pmi Ibm Sun Microsystems
Instacart
Senior Machine Learning Engineer
Formfactor Inc.
Senior Principal Development Engineer
Formfactor Inc.
Principal Development Engineer
Formfactor Inc. 2010 - Mar 2013
Senior Development Engineer
North Carolina State University 2009 - May 2010
Research Assistant
Education:
Georgia Institute of Technology 2006 - 2008
Master of Science, Masters, Materials Science, Engineering
Indian Institute of Technology May 2006
Bachelors
Doms, Iit Roorkee 2002 - 2006
Bachelors, Bachelor of Technology, Engineering
Indian Institute of Technology, Roorkee
Skills:
Characterization Materials Science Thin Films Photolithography Materials Ic Electrochemistry Statistics Data Analysis Polymers R&D Simulations Electronics Matlab Semiconductors Engineering
Walmart Labs
Vice President of Engineering
Adchemy Feb 2012 - Apr 2014
Director, Engineering
Yahoo Mar 2005 - Mar 2012
Senior Engineering Manager and Architect
Yahoo Nov 2000 - Mar 2005
Senior Software Engineer
Opelin 1997 - 1999
Software Engineer
Education:
Birla Institute of Technology and Science, Pilani
Skills:
Distributed Systems Agile Methodologies Mysql Hadoop Perl Php Mobile Applications C++ Web Applications Java Linux Git Cloud Computing Javascript Lamp Amazon Web Services Engineering Management Objective C Subversion Rest Nosql
Inkagu Household Supplies Doctor Eb Voila Ams Móveis Planejados Digital Expo Discover Sg Inlinex Community Home Decor Resorts World Sentosa Soori Be Human Be Kind Love U Fraudu Raghava Lawrence Community and Youth Tamilgstube 2 World of Buzz உடலநலம Health/Beauty Sai Baba My Digital Lock Pte Ltd Sink Camera Rolling Action Singapore Uncensored Furniture Amira Kishk Mamypoko Singapore Banana Leaf Pork Briyani Bernama News Channel Doi News Shopping and Retail Politician Home Cooking Carousell Awesome Machi Organization Sofaandbed Restaurant Siva Sri Thinageswar Sivaachaariyaar Viralfox Nightzconcepts Ace Fleet Management Pte Ltd Lessons Taught By Life Singapore Home Fibre Medical and Health The Healer Foundation Vstarcam Natural World Products Pte Ltd School Personal Website 24Tamil Health Movie Education Learn Kolam Autobahn Rent A Car Autoshield Pte Ltd Sazren's Travel and Shoppe Jewelry/Watches Vishal Fitness Model Metafora Anafora Este Bartin Furniture Store Telecommunication Company Malaysia Hindu Temples Tv Channel Song Udalnalam News and Media Website Blogger The Open Mind நணல Comedian Food Stand The Oddity World Lanka4 I Love Sai Baba Com Prince Ea Performing Arts Healthy Tipss Big Box Retailer Advertising Agency Grab Pm Gadgets Fithealth&Gym Government Organization Hotel Resort Social Media Agency Sports Iyouthmag Home Security Company Cleaning Service Ntd Taste Life Thelocalbytes Singapore Police Force Tiara Window Cool (S) Pte Ltd தமழ டகடர Music Must Do Travels Hiphop Tamizha Die Hard Fans Media Survivor Singsale Mccy Musician A Star Car Leasing Pte Ltd Procare Cleaning Services Travel Service Retail Company Musician/Band Kaplan Singapore Denisse Copeland Little Baby Fashion Boutique Health Beauty Tips Megafurniture Ministry of Culture Law Enforcement Agency Mattress Store دموع قلبي Troop Senget Digitally Inspired Media Tamil Gag Puthuyugamtv Car Dealership Society and Culture Website Baby Goods/Kids Goods Writer Media Motor Vehicle Company Ennama Ippadi Panreengale Ma Biryani Secrets Viewqwest Big Box Men's Clothing Store Singapore Ink Miracle Automobile Pte Ltd Sgbroadbandreview App Page Automotive Parts Store Car Rental Home Window Service Cartimes Automobile Pte Ltd Electronics Internet Service Provider Sports and Recreation Örgü Hobilerim Website Actor Product/Service Artist Kak Girl Most Beautiful Cities of the World Bringing You Uncensored Coverage Magazine Mervyn Rozario Neighborhood Yourdigitallock Ming and Qing Furniture Pte Ltd World Cup Russia 2018 Live Sadcasm Prabakaran Public Figure Thinageswar Sathya Sai Baba Media/News Company Hunterdouglas Singapore Insurance Broker Radius Fuel Cards
"LinkedIn's technology team includes world-class security experts," according to the company's Tuesday LinkedIn blog post. "This team includes Ganesh Krishnan, the company's security czar, who previously served as vice president and chief information security officer at Yahoo! Inc. He and the entir
Date: Jun 13, 2012
Category: Sci/Tech
Source: Google
LinkedIn defends reaction in wake of password theft
Silveira said Ganesh Krishnan, the head of LinkedIn's India technology center and the man considered the company's security czar, led an initiative to update passwords with the salting procedure.