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Manjeet Saini Karnail S Singh, 653979 Hanes Brook Ct, High Point, NC 27265

Manjeet Singh Phones & Addresses

3979 Hanes Brook Ct, High Point, NC 27265    336-4544747   

729 Hendrix St, High Point, NC 27260    336-4544747   

Union City, CA   

Greensboro, NC   

8739 125Th St, Richmond Hill, NY 11418    718-8058391   

South Richmond Hill, NY   

Alameda, CA   

Mentions for Manjeet Saini Karnail S Singh

Career records & work history

Medicine Doctors

Manjeet Singh

Specialties:
Internal Medicine
Work:
Axis Community Health
4361 Railroad Ave STE G, Pleasanton, CA 94566
925-4621755 (phone) 925-4621650 (fax)
Languages:
English, Spanish
Description:
Dr. Singh works in Pleasanton, CA and specializes in Internal Medicine. Dr. Singh is affiliated with Highland Hospital and Stanford Health Care Valleycare - Livermore.
Manjeet Singh Photo 1

Manjeet Kaur Singh

Specialties:
Family Medicine
General Practice
Radiology
Education:
Government Medical College, Jammu & Kashmir (1970)

Manjeet Singh resumes & CV records

Resumes

Manjeet Singh Photo 48

Manjeet Singh

Education:
U.P. Board - Allahabad, Uttar Pradesh 2009
Ilnd Division
U.P. Board - Allahabad, Uttar Pradesh 2007
Ilnd Division
Manjeet Singh Photo 49

Manjeet Singh - Philadelphia, PA

Work:
SOCIETIES 2011 to 2000
member
SOCIETIES 2008 to 2000
American Osteopathic Association, member
Cardiovascular - Browns Mills, NJ Jul 2014 to Jul 2014 Internal Medicine - Philadelphia, PA Jul 2011 to Jun 2014
Residency
WES - Horsham, PA Mar 2007 to Aug 2007
Electrical Engineer
Medical School Sep 2005 to Dec 2005 Roberts Filter Group - Darby, PA Jan 2005 to Aug 2005
Electrical Engineer
Education:
Touro College of Osteopathic Medicine - New York, NY Sep 2007 to Jun 2011
Doctor of Osteopathic Medicine
Manjeet Singh Photo 50

Manjeet Singh - Malerkotla, PUNJAB, US

Work:
SWARAJ ENGINES LTD - Mohali, Punjab
Education:
Govt. Polytechnic College - Ferozpur, Punjab, IN 2007 to 2009
Diploma in Mechanical Engineering
Raj High Sr. Sec School - Sangrur, Punjab 2006 to 2007
Vocational in Mechanical
Adarsh Model High School - Dhuri, Punjab 2005
Std in Mathematics
Manjeet Singh Photo 51

Manjeet Singh - San Jose, CA

Work:
Carl Zeiss Meditec Jan 2011 to 2000
Manufacturing Engineer
Carl Zeiss Meditec - Dublin, CA May 2006 to Jan 2009
Manufacutring Engineer Intern
Education:
San Jose State University - San Jose, CA Jan 2011
Bachelor of Science in Electrical Engineering
Skills:
C++, Manufacturing Execution System (MES), Minitab 16, Business Objects Xi.2, Agile, PSpice, Matlab, Xilinx, SAP
Manjeet Singh Photo 52

Manjeet Singh - Richmond Hill, NY

Work:
THE HOME DEPOT - Flushing, NY Feb 2008 to Dec 2010
Flooring and Tool Rental Sales Associate
ABLE C&C USA - Ridgefield, NJ Jul 2005 to Aug 2007
Warehouse Inventory Supervisor
H & R LOGISTICS - Long Island, NY Jan 2005 to Jul 2005
Dock/Delivery Team Member
Education:
HUNTER COLLEGE of the City University of New York - New York, NY Jan 2008 to Jan 2012
Bachelor of Science in Biology
Skills:
Microsoft Office (80WPM), Operation of all Lift equipment (Forklift, LPG, EPJ, Reach, OP, Slip sheet w/ attachments) /Oversized Cargo & Delivery Vehicles. Fluent in Punjabi and Hindi languages
Manjeet Singh Photo 53

Manjeet Singh

Work:
ARSHIYA INTERNATIONAL LTD Dec 2011 to Present
Executive DRAFTSMAN Civil - Project Implementation - KHURJA,
DIMENSION INDIA NETWORK PVT LTD - Noida, Uttar Pradesh Jan 2010 to Dec 2011
Sr. DRAFTSMAN, Sec.2
RIA CONSTRUCTION LIMITED Jan 2009 to Jan 2010
Civil DRAFTSMAN, Delhi
Education:
Industrial Training Institute (Chandigarh) - Chandigarh, Chandigarh 2005 to 2007
Diploma in Civil Engineering, Civil Draftsman
Tata InfoTech 2006
Education
Skills:
Architectural Design, Civil Engineering, Auto CAD Draftsman, Architectural Draftsman etc.

Publications & IP owners

Us Patents

Automatic Automation Recommendation

US Patent:
2022029, Sep 15, 2022
Filed:
Mar 15, 2021
Appl. No.:
17/201951
Inventors:
- Santa Clara CA, US
Manjeet Singh - Milpitas CA, US
International Classification:
H04L 12/24
H04L 12/26
H04L 29/08
Abstract:
At least service task data and application utilization data are collected. The collected data is analyzed to determine a utilization pattern. Based on the determined utilization pattern, a computer automation opportunity is automatically identified. An automatically generated recommendation of an automation solution among a plurality of automation solution candidates is provided for the identified computer automation opportunity.

Multi-Application Recommendation Engine For A Remote Network Management Platform

US Patent:
2021039, Dec 16, 2021
Filed:
Aug 26, 2021
Appl. No.:
17/446019
Inventors:
- Santa Clara CA, US
Manjeet Singh - Milpitas CA, US
International Classification:
H04L 29/06
G06N 20/00
H04L 12/24
Abstract:
A remote network management platform may include persistent storage containing: (i) data related to a managed network, and (ii) a persona of a user. The remote network management platform may also include a platform application associated with a web-based user interface and using a portion of the data. The remote network management platform may also include a recommendation engine with access to a set of rules or a machine learning (ML) model corresponding to the platform application. The recommendation engine may be configured to: (i) read, from the persistent storage, the portion of the data and the persona; (ii) apply, to the portion of the data and the persona, the set of rules or the ML model to generate one or more recommendations; and (iii) transmit, by way of the web-based user interface and to the user, representations of the one or more recommendations.

Methods And Systems For Analysis Of Process Performance

US Patent:
2021005, Feb 18, 2021
Filed:
Oct 26, 2020
Appl. No.:
17/080427
Inventors:
- Santa Clara CA, US
Manjeet Singh - Milpitas CA, US
International Classification:
H04L 12/24
Abstract:
A system and method is disclosed for performance analysis of processes in a managed network. Processes may be represented as sets of activities, and an audit database may be configured for logging activities within the managed network. Database may include fields to identify process instances, process classes, process states, and process transitions. A server device may receive a request from a client device to view information representative of multiple process instances. The server device may select a plurality of process instances according to filter criteria applied to the data fields of the audit database records, and generate a graphical representation of interconnections between the one or more data fields of the selected plurality based on a statistical analysis of the one or more data fields of the audit database records corresponding to the selected plurality of process instances. The server may then transmit the graphical representation to the client device.

Multi-Application Recommendation Engine For A Remote Network Management Platform

US Patent:
2021001, Jan 14, 2021
Filed:
Jul 8, 2019
Appl. No.:
16/505148
Inventors:
- Santa Clara CA, US
Manjeet Singh - Milpitas CA, US
International Classification:
H04L 29/06
G06N 20/00
H04L 12/24
Abstract:
A remote network management platform may include persistent storage containing: (i) data related to a managed network, and (ii) a persona of a user. The remote network management platform may also include a platform application associated with a web-based user interface and using a portion of the data. The remote network management platform may also include a recommendation engine with access to a set of rules or a machine learning (ML) model corresponding to the platform application. The recommendation engine may be configured to: (i) read, from the persistent storage, the portion of the data and the persona; (ii) apply, to the portion of the data and the persona, the set of rules or the ML model to generate one or more recommendations; and (iii) transmit, by way of the web-based user interface and to the user, representations of the one or more recommendations.

Methods And Systems For Analysis Of Process Performance

US Patent:
2020028, Sep 10, 2020
Filed:
Mar 4, 2019
Appl. No.:
16/292066
Inventors:
- Santa Clara CA, US
Manjeet Singh - Milpitas CA, US
International Classification:
H04L 12/24
Abstract:
A system and method is disclosed for performance analysis of processes in a managed network. Processes may be represented as sets of activities, and an audit database may be configured for logging activities within the managed network. Database may include fields to identify process instances, process classes, process states, and process transitions. A server device may receive a request from a client device to view information representative of multiple process instances. The server device may select a plurality of process instances according to filter criteria applied to the data fields of the audit database records, and generate a graphical representation of interconnections between the one or more data fields of the selected plurality based on a statistical analysis of the one or more data fields of the audit database records corresponding to the selected plurality of process instances. The server may then transmit the graphical representation to the client device.

Indicator Value Aggregation In A Multi-Instance Computing Environment

US Patent:
2020005, Feb 20, 2020
Filed:
Aug 27, 2019
Appl. No.:
16/552423
Inventors:
- Santa Clara CA, US
Mohammed Abdul Farhan Khan - Santa Clara CA, US
Manjeet Singh - Milpitas CA, US
International Classification:
H04L 12/26
H04L 12/24
Abstract:
Indicator values are anonymously aggregated in a multi-instance computing environment. Aggregations of indicator values are received from customer instances in a multi-instance computing environment. At least one of the aggregations of indicator values is generated by a respective customer instance of the customer instances based on indicator values generated by the respective customer instance. The aggregations of indicator values are filtered to produce filtered aggregations, and the filtered aggregations are aggregated according to characteristics associated with at least some of the customer instances to generate global indicator values. Each global indicator value is generated from one or more of the filtered aggregations that are greater than a minimum threshold. One or more of the global indicator values may then be transmitted to a customer instance of the customer instances having a characteristic corresponding to those global indicator values.

Integrated Continual Improvement Management

US Patent:
2019026, Aug 29, 2019
Filed:
Mar 29, 2018
Appl. No.:
15/939594
Inventors:
- Santa Clara CA, US
Manjeet Singh - Milpitas CA, US
International Classification:
H04L 12/24
H04L 29/08
G06F 9/50
Abstract:
A method includes creating a record of a continual improvement process (CIP) on a hosted client instance based on detection of one or more optimizations to improve at least one of a plurality of actions associated with the hosted client instance; setting a monitored metric with a predetermined target corresponding to the record to measure progress of the CIP over time based on analytical data associated with the monitored metric; setting one or more identified tasks associated with the monitored metric and monitor completion of the one or more identified tasks; and presenting progress data indicating progress toward achieving the monitored metric over time and indicating whether the monitored metric was achieved based on whether the analytical data associated with the monitored metric indicates that the predetermined target was met.

Indicator Value Aggregation In A Multi-Instance Computing Environment

US Patent:
2018032, Nov 8, 2018
Filed:
May 5, 2017
Appl. No.:
15/588078
Inventors:
- Santa Clara CA, US
MOHAMMED ABDUL FARHAN KHAN - Santa Clara CA, US
MANJEET SINGH - Milpitas CA, US
International Classification:
H04L 12/26
H04L 12/24
H04L 29/08
Abstract:
Indicator values are anonymously aggregated in a multi-instance computing environment. Aggregations of indicator values are received from customer instances in a multi-instance computing environment. At least one of the aggregations of indicator values is generated by a respective customer instance of the customer instances based on indicator values generated by the respective customer instance. The aggregations of indicator values are filtered to produce filtered aggregations, and the filtered aggregations are aggregated according to characteristics associated with at least some of the customer instances to generate global indicator values. Each global indicator value is generated from one or more of the filtered aggregations that are greater than a minimum threshold. One or more of the global indicator values may then be transmitted to a customer instance of the customer instances having a characteristic corresponding to those global indicator values.

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