Piyush Gupta

US Patent:

20130261792, Oct 3, 2013

Filed:

Mar 29, 2012

Appl. No.:

13/434844

Inventors:

Piyush Gupta - Issaquah WA, US
Girish Lakshman - Sammamish WA, US
Lin Wan - Bellevue WA, US
Michael Mahesh Bhaskaran - Bellevue WA, US

International Classification:

G06F 17/00

US Classification:

700232

Abstract:

A pickup location that includes a control station and one or more storage compartment modules provides the ability for items to be ordered and delivered for pickup by a user without having to pack those items in a shipping package prior to shipping from a materials handling facility. Delivering items for pickup by a user without having to package the items prior to shipping, may provide a better experience for the customer, reduce waste in packaging material and a lower cost of delivering the ordered items to the customer.

US Patent:

20130262276, Oct 3, 2013

Filed:

Mar 29, 2012

Appl. No.:

13/434839

Inventors:

Lin Wan - Bellevue WA, US
Girish Lakshman - Sammamish WA, US
Piyush Gupta - Issaquah WA, US
Michael Mahesh Bhaskaran - Bellevue WA, US

International Classification:

G06F 17/00
G06Q 10/08

US Classification:

705 28, 700232

Abstract:

A pickup location that includes a control station and one or more storage compartment modules provides the ability for items to be ordered and delivered for pickup by a user without having to pack those items in a shipping package prior to shipping from a materials handling facility. Delivering items for pickup by a user without having to package the items prior to shipping, may provide a better experience for the customer, reduce waste in packaging material and a lower cost of delivering the ordered items to the customer.

US Patent:

20220224625, Jul 14, 2022

Filed:

Jan 10, 2022

Appl. No.:

17/572539

Inventors:

- Redmond WA, US
Piyush GUPTA - Sammamish WA, US
Jeremy Michael BARES - Seattle WA, US
Weili Zhong MCCLENAHAN - Seattle WA, US
Craig Henry WITTENBERG - Clyde Hill WA, US
Christopher Grant ASHTON - Redmond WA, US
Ritchie Nicholas HUGHES - Salt Lake City UT, US

International Classification:

H04L 43/16
G06F 16/28

Abstract:

Techniques are described herein that are capable of performing an aggregation-based determination of resiliency of a cloud computing service to chaos events. Chaos events are executed against a cloud computing service during a time frame that includes multiple time periods. For each chaos event, service health indexes (SHIs) that correspond to the time periods are calculated. Each SHI indicates an extent to which indicators, which represent respective measurements of performance of the cloud computing service during the respective time period, satisfy respective criteria. The SHIs for each chaos event are analyzed to provide a respective resiliency score. At least some of the resiliency scores of the respective chaos events are aggregated to provide an aggregated resiliency score, which represents resiliency of the cloud computing service to the chaos events.

US Patent:

20230127055, Apr 27, 2023

Filed:

Dec 22, 2022

Appl. No.:

18/145839

Inventors:

- Seattle WA, US
Piyush Gupta - Issaquah WA, US
Xingbo Wang - Kirkland WA, US
Sainath Chowdary Mallidi - Seattle WA, US
Andi Gutmans - Menlo Park CA, US

Assignee:

Amazon Technologies, Inc. - Seattle WA

International Classification:

G06F 16/22
G06F 16/2453
G06F 16/901

Abstract:

Methods, systems, and computer-readable media for global column indexing in a graph database are disclosed. A plurality of data elements of a graph database are stored. The triples comprise identifiers, column names, and values. The column names are globally scoped in the graph database and are associated with data types. Indices corresponding to the column names are created. A particular one of the indices comprises one or more of the values associated with the corresponding column name. A query is performed on the graph database using one or more of the indices corresponding to one of more of the column names associated with the query.

US Patent:

20210286848, Sep 16, 2021

Filed:

Mar 26, 2021

Appl. No.:

17/214334

Inventors:

- Seattle WA, US
Piyush Gupta - Issaquah WA, US
Sainath Chowdary Mallidi - Seattle WA, US
Divij Vaidya - Seattle WA, US
Andi Gutmans - Menlo Park CA, US

Assignee:

Amazon Technologies, Inc. - Seattle WA

International Classification:

G06F 16/901
G06F 16/2453
G06F 16/903
G06F 16/2452

Abstract:

Methods, systems, and computer-readable media for query language interoperability in a graph database are disclosed. Data elements are inserted into a graph database using one or more of a plurality of graph database query languages. The graph database query languages comprise a first graph database query language associated with a first data model and a second graph database query language associated with a second data model. The data elements are stored in the graph database using an internal data model that differs from the first and second data models. One or more of the data elements are retrieved from the graph database based at least in part on a query. The query is expressed using a different graph database query language than the graph database query language used to insert the one or more retrieved data elements.

US Patent:

20210097048, Apr 1, 2021

Filed:

Oct 9, 2020

Appl. No.:

17/067487

Inventors:

- Seattle WA, US
Piyush Gupta - Issaquah WA, US
Xingbo Wang - Kirkland WA, US
Sainath Chowdary Mallidi - Seattle WA, US
Andi Gutmans - Menlo Park CA, US

Assignee:

Amazon Technologies, Inc. - Seattle WA

International Classification:

G06F 16/22
G06F 16/2453
G06F 16/901

Abstract:

Methods, systems, and computer-readable media for global column indexing in a graph database are disclosed. A plurality of data elements of a graph database are stored. The triples comprise identifiers, column names, and values. The column names are globally scoped in the graph database and are associated with data types. Indices corresponding to the column names are created. A particular one of the indices comprises one or more of the values associated with the corresponding column name. A query is performed on the graph database using one or more of the indices corresponding to one of more of the column names associated with the query.

US Patent:

20200169619, May 28, 2020

Filed:

Nov 26, 2018

Appl. No.:

16/200049

Inventors:

- Seattle WA, US
Sravan Kumar Nandamuri - Bellevue WA, US
Piyush Gupta - Issaquah WA, US
Atulya Beheray - Sammamish WA, US
James Gosling - Redwood City CA, US

International Classification:

H04L 29/08
G06F 9/50
G06F 8/30

Abstract:

A coordinated network service that facilitates the design and implementation of a coordinated device network of IoT devices. The coordinated network service defines modules for individual IoT devices or coordinated devices that specify the necessary inputs to the device, the outputs from the device and communication protocols. Via an interface, user devices can select a set of IoT devices and specify how they are connected and the decision making logic associated with communication flow. The coordinated network service can then automatically generate mapping information that implements the decision making logic and provides necessary transformations for communications between the specified devices. The selected modules and mappings form a workflow for the coordinated device network. The coordinated network service can then generate executable code to implement the formed workflow in a coordinated device network.

US Patent:

20180210966, Jul 26, 2018

Filed:

Jan 20, 2017

Appl. No.:

15/411596

Inventors:

- Seattle WA, US
Piyush Gupta - Issaquah WA, US
Sainath Chowdary Mallidi - Seattle WA, US
Divij Vaidya - Seattle WA, US
Andi Gutmans - Menlo Park CA, US

Assignee:

Amazon Technologies, Inc. - Seattle WA

International Classification:

G06F 17/30

Abstract:

Methods, systems, and computer-readable media for query language interoperability in a graph database are disclosed. Data elements are inserted into a graph database using one or more of a plurality of graph database query languages. The graph database query languages comprise a first graph database query language associated with a first data model and a second graph database query language associated with a second data model. The data elements are stored in the graph database using an internal data model that differs from the first and second data models. One or more of the data elements are retrieved from the graph database based at least in part on a query. The query is expressed using a different graph database query language than the graph database query language used to insert the one or more retrieved data elements.