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Shashank GuptaFremont, CA

Shashank Gupta Phones & Addresses

Fremont, CA   

San Jose, CA   

Sunnyvale, CA   

Jersey City, NJ   

Asbury Park, NJ   

Seattle, WA   

Stony Brook, NY   

Mentions for Shashank Gupta

Shashank Gupta resumes & CV records

Resumes

Shashank Gupta Photo 34

Global Materials Planner At Apple

Position:
Global Materials Planner at Apple
Location:
San Francisco Bay Area
Industry:
Computer Networking
Work:
Apple - Cupertino since Jan 2013
Global Materials Planner
Apple - Cupertino Oct 2011 - Jan 2013
Program Manager
Apple - Singapore Sep 2012 - Dec 2012
Asia Pacific Material Planner
Cisco Systems Apr 2011 - Dec 2011
Planner- Sales and Operations Planning
Cisco Feb 2009 - May 2011
Supply Chain Management Business Analyst
Transocean Jul 2006 - Aug 2007
Management Trainee
Education:
Stanford University 2007 - 2008
MS, Management Science and Engineering
Indian Institute of Technology, Delhi 2002 - 2006
B-Tech, Industrial Engineering
Shashank Gupta Photo 35

Manager - Business Analytics At Aegis Communications

Position:
Manager at Aegis Communications
Location:
Irving, Texas
Industry:
Outsourcing/Offshoring
Work:
Aegis Communications - Irving TX since Sep 2008
Manager
Global Vantedge India Pvt Ltd (Aegis Communications) 2005 - 2008
Assistant Manager
GENPACT LLC 2002 - 2005
Business Analyst
Education:
Institute of Management Technology, Ghaziabad 2005 - 2008
Master of Business Administration (MBA), Marketing/Marketing Management, General
Skills:
BPO, Workforce Management, Call Center, Service Delivery, Outsourcing, Call Centers, Telemarketing, Customer Satisfaction, Process Excellence, Vendor Management, Six Sigma, Soft Skills, Customer Experience, Telecommunications, Call Center Development, Sla, Offshoring, Business Process Improvement, Transition Management
Shashank Gupta Photo 36

Shashank Gupta

Location:
United States
Shashank Gupta Photo 37

Shashank Gupta

Location:
United States
Shashank Gupta Photo 38

Shashank Gupta

Work:
MGL Consulting Sep 2011 to Feb 2012
Java Developer
IIT Roorkee 2010 to 2010
Education:
IPS College of Technology & Management 2011
B.E. in Education
Miss Hill School Gwalior - Gwalior, Madhya Pradesh 2007
HSC
R.K.V.M School Gwalior 2005
SSC
Shashank Gupta Photo 39

Shashank Gupta

Work:
E-SOLUTIONSINC - SANE JOSE,CA
RECRUITER

Publications & IP owners

Us Patents

Graceful Port Shutdown Protocol For Fibre Channel Interfaces

US Patent:
7593324, Sep 22, 2009
Filed:
Oct 25, 2004
Appl. No.:
10/974368
Inventors:
Praveen Jain - San Jose CA, US
Ranganathan Rajagopalan - Fremont CA, US
Ramsundar Janakiraman - Sunnyvale CA, US
Shashank Gupta - San Jose CA, US
Sachin Jain - Santa Clara CA, US
Assignee:
Cisco Technology, Inc. - San Jose CA
International Classification:
H04L 12/26
US Classification:
370227, 370228, 714 24
Abstract:
A port shutdown protocol coordinates among various components involved in the process of administratively bringing down a link at both ends of a link connecting two switches. Execution of the protocol avoids or reduces frame drops and/or reordering. In this protocol, peer switches perform various actions when bringing down an ISL in a synchronized manner. In one implementation, this protocol uses the Exchange Peer Protocol (EPP) as the underlying transport to carry the port shutdown protocol frames.

Trunking For Fabric Ports In Fibre Channel Switches And Attached Devices

US Patent:
7916628, Mar 29, 2011
Filed:
Nov 1, 2004
Appl. No.:
10/979886
Inventors:
Kalyan K. Ghosh - Santa Clara CA, US
Praveen Jain - San Jose CA, US
Shashank Gupta - San Jose CA, US
Tushar Desai - Foster City CA, US
Assignee:
Cisco Technology, Inc. - San Jose CA
International Classification:
G01R 31/08
US Classification:
370218, 370235, 370252, 709250
Abstract:
N_Ports and F_Ports are provided with logic allowing designation of multiple virtual interfaces on a single host bus adaptor or other Fiber Channel interface, one virtual interface for each VSAN operating on the node interface. Node ports with this additional functionality are referred to as trunking N_Ports or TN_Ports. These ports have a functional design allowing creation of the multiple virtual interfaces as appropriate for the application at hand. This port design also includes logic for communicating with a peer fabric port to initialize and modify the configuration of the virtual interfaces on the TN_Port. A corresponding functional design and communication logic is provided for fabric ports, referred to herein as trunking F_Ports or TF_Ports.

Enhanced Bloom Filters

US Patent:
8032529, Oct 4, 2011
Filed:
Apr 12, 2007
Appl. No.:
11/734726
Inventors:
Shashank Gupta - Milpitas CA, US
Murali Basavaiah - Sunnyvale CA, US
John Fingerhut - Laguna Hills CA, US
Assignee:
Cisco Technology, Inc. - San Jose CA
International Classification:
G06F 17/30
US Classification:
707736, 707754
Abstract:
An interface is operable to receive an element for deletion from a bloom filter. The bloom filter includes multiple hash functions and an array. A processor is operable to generate hash function output values for the element using the hash functions. The hash function output values correspond to indices identifying bits in the array. A memory is operable to maintain supplemental data structure entries. The supplemental data structure has entries associated with the indices. The processor is operable to modify the supplemental data structure entries to delete the element from the bloom filter.

Methods And Devices For Exchanging Peer Parameters Between Network Devices

US Patent:
8605624, Dec 10, 2013
Filed:
Aug 29, 2008
Appl. No.:
12/202004
Inventors:
Tushar Desai - Foster City CA, US
Shashank Gupta - Santa Clara CA, US
Praveen Jain - San Jose CA, US
Kalyan K. Ghosh - Santa Clara CA, US
Assignee:
Cisco Technology, Inc. - San Jose CA
International Classification:
H04L 12/28
US Classification:
370255, 370419
Abstract:
Methods and devices are provided for detecting whether peer ports interconnecting two network devices can perform a novel protocol called Exchange Peer Parameters (“EPP”). If the peer ports are so configured to perform EPP, EPP services are exchanged between the peer ports. In a first phase, information is exchanged about peer port configurations of interest. In a second phase, the results of the exchange of information are applied to hardware and/or software of the respective ports, as needed.

Methods And Devices For Exchanging Peer Parameters Between Network Devices

US Patent:
2004010, May 27, 2004
Filed:
May 5, 2003
Appl. No.:
10/430491
Inventors:
Tushar Desai - Foster City CA, US
Shashank Gupta - Santa Clara CA, US
Praveen Jain - San Jose CA, US
Kalyan Ghosh - Santa Clara CA, US
Assignee:
Andiamo Systems, Inc.
International Classification:
H04L001/00
US Classification:
370/238000
Abstract:
Methods and devices are provided for detecting whether peer ports interconnecting two network devices can perform a novel protocol called Exchange Peer Parameters (“EPP”). If the peer ports are so configured to perform EPP, EPP services are exchanged between the peer ports. In a first phase, information is exchanged about peer port configurations of interest. In a second phase, the results of the exchange of information are applied to hardware and/or software of the respective ports, as needed.

Trunking For Fabric Ports In Fibre Channel Switches And Attached Devices

US Patent:
2011014, Jun 16, 2011
Filed:
Feb 18, 2011
Appl. No.:
13/031013
Inventors:
Kalyan K. Ghosh - Santa Clara CA, US
Praveen Jain - San Jose CA, US
Shashank Gupta - San Jose CA, US
Tushar Desai - Foster City CA, US
Assignee:
CISCO TECHNOLOGY, INC. - San Jose CA
International Classification:
H04L 12/28
H04L 12/56
US Classification:
370241, 370389
Abstract:
N_Ports and F_Ports are provided with logic allowing designation of multiple virtual interfaces on a single host bus adaptor or other Fibre Channel interface, one virtual interface for each VSAN operating on the node interface. Node ports with this additional functionality are referred to as trunking N_Ports or TN_Ports. These ports have a functional design allowing creation of the multiple virtual interfaces as appropriate for the application at hand. This port design also includes logic for communicating with a peer fabric port to initialize and modify the configuration of the virtual interfaces on the TN_Port. A corresponding functional design and communication logic is provided for fabric ports, referred to herein as trunking F_Ports or TF_Ports.

Machine Learning Model Abstraction Layer For Runtime Efficiency

US Patent:
2023001, Jan 19, 2023
Filed:
Sep 29, 2022
Appl. No.:
17/956088
Inventors:
- San Jose CA, US
Douglas A. Koch - Santa Clara CA, US
Shashank Gupta - San Jose CA, US
Parnit Sainion - Morgan Hill CA, US
Visvanathan Thothathri - Santa Clara CA, US
Narinder Paul - Sunnyvale CA, US
Howie Xu - Palo Alto CA, US
International Classification:
G06N 20/00
G06F 16/901
G06K 9/62
Abstract:
Systems and methods include receiving a trained machine learning model that has been processed with training information removed therefrom, wherein the training information is utilized in training of the trained machine learning model; monitoring traffic, inline at the node, including processing the traffic with the trained machine learning model; obtaining a verdict on the traffic based on the trained machine learning model; and performing an action on the traffic based on the verdict.

Machine Learning To Determine Domain Reputation, Content Classification, Phishing Sites, And Command And Control Sites

US Patent:
2021037, Dec 2, 2021
Filed:
Jun 8, 2021
Appl. No.:
17/341513
Inventors:
- San Jose CA, US
Rex Shang - Los Altos CA, US
Howie Xu - Palo Alto CA, US
Bryan Lee - San Jose CA, US
Martin Walter - San Jose CA, US
Deepen Desai - San Ramon CA, US
Nirmal Singh - Chandigarh, IN
Narinder Paul - Sunnyvale CA, US
Shashank Gupta - Sunnyvale CA, US
International Classification:
H04L 29/06
G06K 9/62
G06N 20/00
Abstract:
Systems and methods include receiving a domain for a determination of a likelihood the domain is malicious or benign; obtaining data associated with the domain including log data from a cloud-based system that performs monitoring of a plurality of users; analyzing the domain with a plurality of components to assess the likelihood, wherein at least one of the plurality of components is a trained machine learning model; and combining results of the plurality of components to predict the likelihood the domain is malicious or benign.

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