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Manoj Agarwal109 Monte Verano Ct, San Jose, CA 95116

Related to:
Manish Agarwal 48 Reetu Agarwal 45

Manoj Agarwal Phones & Addresses

109 Monte Verano Ct, San Jose, CA 95116    408-9232532   

16 Clarmore Dr, Norwalk, CT 06850   

Work

Position: Developer, backup project leader

Education

School / High School: Affiliated to University of Rajasthan Jun 2009 Specialities: Bachelor of Engineering in Engineering & Technology

Skills

Infotmatica Power Center tools • Oracle 11g • Unix • Autosys Scheduler

Ranks

Certificate: American Board of Internal Medicine Sub-certificate in Oncology (Internal Medicine)
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Mentions for Manoj Agarwal

Career records & work history

Medicine Doctors

Manoj Agarwal Photo 1

Manoj Agarwal, San Jose CA

Specialties:
Internal Medicine
Hematology & Oncology
Hematology
Medical Oncology
Work:
O'Connor Hematology Oncology
455 O'connor Dr, Suite 270, San Jose, CA 95128
Education:
Christian Medical College, Vellore (1996)
John H Stroger Jr Hospital of Cook County (2000) *
Rush University Medical Center (2004) *
University of Illinois (2003) *
Manoj Agarwal Photo 2

Manoj Agarwal, San Jose CA

Specialties:
Hematologist
Address:
2585 Samaritan Dr, San Jose, CA 95124
400 Race St, San Jose, CA 95126
455 Oconnor Dr, San Jose, CA 95128
Education:
Doctor of Medicine
Christian Medical College, Vellore - Bachelor of Medicine, Bachelor of Surgery
University of Illinois Medical Center at Chicago - Fellowship - Hematology and Oncology (Internal Medicine)
John H. Stroger Jr. Hospital of Cook County - Residency - Internal Medicine
Board certifications:
American Board of Internal Medicine Sub-certificate in Oncology (Internal Medicine)

Manoj Agarwal resumes & CV records

Resumes

Manoj Agarwal Photo 45

Manoj Agarwal

Location:
1740 Technology Dr, San Jose, CA 95110
Industry:
Computer Software
Work:
Nutanix Sep 2015 - Dec 2018
Senior Vice President Engineering, General Manager Cloud Partners Sandisk Jan 2012 - Jun 2013
Director Ii, Engineering Sandisk May 2011 - Dec 2011
Director I, Engineering Pliant Technology Jan 2011 - May 2011
Director of Asic Development Efi Mar 2008 - Jan 2011
Senior Manager, Asic Design and Methodology Efi Jul 2006 - Feb 2008
Engineering Manager Efi Mar 2004 - Jun 2006
Staff Engineer Efi Mar 2002 - Feb 2004
Lead Asic Engineer Efi Dec 2000 - Feb 2002
Senior Asic Engineer Synopsys Mar 2000 - Dec 2000
Member of Technical Staff Stmicroelectronics Apr 1997 - Mar 2000
Design Engineer
Education:
Indian Institute of Technology, Kanpur 1993 - 1997
Bachelors, Bachelor of Technology Indian Institute of Technology, Delhi
Bachelors, Bachelor of Technology
Skills:
Cross Functional Team Leadership, Storage Virtualization, Executive Management, Cloud Computing, Software Development, Distributed Systems, Platform Development, Hybrid Cloud, Enterprise It Infrastructure
Manoj Agarwal Photo 46

Manoj Kumar Agarwal

Manoj Agarwal Photo 47

Manoj Jijaji Agarwal

Manoj Agarwal Photo 48

Manoj Agarwal

Manoj Agarwal Photo 49

Manoj Agarwal

Location:
United States
Manoj Agarwal Photo 50

Manoj Agarwal

Location:
United States
Manoj Agarwal Photo 51

Manoj Agarwal

Location:
United States
Manoj Agarwal Photo 52

Manoj Agarwal

Location:
United States

Publications & IP owners

Us Patents

Methods And Apparatus For Monitoring Internal Signals In An Integrated Circuit

US Patent:
7669096, Feb 23, 2010
Filed:
Jun 17, 2008
Appl. No.:
12/140266
Inventors:
Manoj Kumar Agarwal - San Mateo CA, US
Assignee:
Electronics for Imaging, Inc. - Foster City CA
International Classification:
G01R 31/28
US Classification:
714724, 714 30
Abstract:
Apparatus and methods are provided for debugging an integrated circuit. Local multiplexer circuits are provided near first and second circuit blocks in the integrated circuit. Each multiplexer circuit includes input nodes, a control node, and an output node. A first input node of the first multiplexer circuit is coupled to an internal node of the first circuit block, a first input node of the second multiplexer circuit is coupled to an internal node of the second circuit block, second input nodes of the first and second multiplexer circuits are coupled to logical 0, and the control signal nodes of the first and second multiplexer circuits are coupled to a control signal. An OR gate is provided that includes an input node coupled to the output node of the first multiplexer circuit, another input node coupled to the output node of the second multiplexer circuit, and an output node. The control signal is used to select the internal nodes of the first or second circuit blocks for monitoring at the output node of the OR gate.

Methods And Apparatus For Monitoring Internal Signals In An Integrated Circuit

US Patent:
2005028, Dec 29, 2005
Filed:
Jun 29, 2004
Appl. No.:
10/880630
Inventors:
Manoj Agarwal - San Mateo CA, US
International Classification:
H03K017/687
G01R031/28
US Classification:
714726000
Abstract:
Apparatus and methods are provided for debugging an integrated circuit. Local multiplexer circuits are provided near first and second circuit blocks in the integrated circuit. Each multiplexer circuit includes input nodes, a control node, and an output node. A first input node of the first multiplexer circuit is coupled to an internal node of the first circuit block, a first input node of the second multiplexer circuit is coupled to an internal node of the second circuit block, second input nodes of the first and second multiplexer circuits are coupled to logical 0, and the control signal nodes of the first and second multiplexer circuits are coupled to a control signal. An OR gate is provided that includes an input node coupled to the output node of the first multiplexer circuit, another input node coupled to the output node of the second multiplexer circuit, and an output node. The control signal is used to select the internal nodes of the first or second circuit blocks for monitoring at the output node of the OR gate.

Using Templates To Provision Infrastructures For Machine Learning Applications In A Multi-Tenant On-Demand Serving Infrastructure

US Patent:
2022039, Dec 8, 2022
Filed:
Jun 2, 2021
Appl. No.:
17/337388
Inventors:
- San Francisco CA, US
Yuliya L. Feldman - Campbell CA, US
Alexandr Nikitin - El Sobrante CA, US
Manoj Agarwal - Cupertino CA, US
Chirag Rajan - Burlingame CA, US
Swaminathan Sundaramurthy - Los Altos CA, US
Assignee:
salesforce.com, inc. - San Francisco CA
International Classification:
G06F 8/71
G06N 20/00
G06F 8/60
G06F 9/455
G06F 11/30
G06F 11/34
G06F 11/32
Abstract:
A method by one or more electronic devices to provision an infrastructure for a machine learning application in a multi-tenant on-demand serving infrastructure. The method includes storing a plurality of templates, wherein each of the plurality of templates indicates a scoring interface, a web server, a definition of a continuous integration pipeline, and a definition of a continuous deployment pipeline, receiving a request to provision the infrastructure for the machine learning application using a specified template from the plurality of templates, and provisioning the infrastructure for the machine learning application using the specified template to create a version control system repository, a continuous integration pipeline, and a continuous deployment pipeline.

Onboarding New Machine Learning Applications In A Multi-Tenant On-Demand Model Serving Infrastructure Using Configuration Objects

US Patent:
2022039, Dec 8, 2022
Filed:
Jun 2, 2021
Appl. No.:
17/337387
Inventors:
- San Francisco CA, US
Yuliya L. Feldman - Campbell CA, US
Alexandr Nikitin - El Sobrante CA, US
Manoj Agarwal - Cupertino CA, US
Chirag Rajan - Burlingame CA, US
Swaminathan Sundaramurthy - Los Altos CA, US
Assignee:
salesforce.com, inc. - San Francisco CA
International Classification:
G06N 20/00
Abstract:
A method by a router component in a multi-tenant on-demand serving infrastructure to route scoring requests to scoring containers. The method includes receiving a scoring request, determining a machine learning application associated with the scoring request, determining whether a router instance for the machine learning application exists, and responsive to a determination that a router instance for the machine learning application does not exist, obtaining a configuration object for the machine learning application and instantiating the router instance for the machine learning application based on the configuration object for the machine learning application. The method further includes invoking the router instance for the machine learning application to route the scoring request associated with the machine learning application to a scoring container that provides scoring functionality for the machine learning application.

Configuration Map Based Sharding For Containers In A Machine Learning Serving Infrastructure

US Patent:
2022038, Dec 1, 2022
Filed:
May 28, 2021
Appl. No.:
17/334592
Inventors:
- San Francisco CA, US
Seyedshahin Ashrafzadeh - Foster City CA, US
Alexandr Nikitin - El Sobrante CA, US
Manoj Agarwal - Cupertino CA, US
Assignee:
salesforce.com, inc. - San Francisco CA
International Classification:
G06F 9/50
G06N 20/00
G06N 5/04
Abstract:
A machine learning serving infrastructure implementing a method of receiving or detecting an update of container metrics including resource usage and serviced requests per model or per container, processing the container metrics per model or per container to determine recent resource usage and serviced requests per model or per container, and rebalancing distribution of models to a plurality of containers to decrease a detected load imbalance between containers or a stressed container in the plurality of containers.

Single Framework For Both Streaming And On-Demand Inference

US Patent:
2022031, Oct 6, 2022
Filed:
Mar 30, 2021
Appl. No.:
17/217406
Inventors:
- San Francisco CA, US
Yuliya Feldman - Campbell CA, US
Manoj Agarwal - Cupertino CA, US
Chirag Rajan - Burlingame CA, US
Swaminathan Sundaramurthy - Los Altos CA, US
Endri Deliu - San Francisco CA, US
Assignee:
salesforce.com, inc. - San Francisco CA
International Classification:
G06N 5/04
H04N 21/25
G06N 20/00
Abstract:
A method and system for a single framework for both streaming and on-demand inference that includes receiving a request from a tenant application for a machine-learning serving infrastructure, where the request identifies features of tenant data and a machine-learning model, subscribing to events for the identified features, initiating the machine-learning model for the request, and generating a prediction using the machine-learning model on the identified features.

Using Container Information To Select Containers For Executing Models

US Patent:
2022023, Jul 28, 2022
Filed:
Jan 27, 2021
Appl. No.:
17/159639
Inventors:
- San Francisco CA, US
Seyedshahin Ashrafzadeh - Foster City CA, US
Alexandr Nikitin - El Sobrante CA, US
Manoj Agarwal - Cupertino CA, US
International Classification:
G06N 20/00
G06F 16/23
Abstract:
Using container information to select containers for executing models is described. A system receives a request from an application and identifies a version of a machine-learning model associated with the request. The system identifies a set of each serving container corresponding to the machine-learning model from a cluster of available serving containers associated with the version of the machine-learning model. The system selects a serving container from the set of each serving container corresponding to the machine-learning model. If the machine-learning model is not loaded in the serving container, the system loads the machine-learning model in the serving container. If the machine-learning model is loaded in the serving container, the system executes, in the serving container, the machine-learning model on behalf of the request. The system responds to the request based on executing the machine-learning model on behalf of the request.

Using Container And Model Information To Select Containers For Executing Models

US Patent:
2022023, Jul 28, 2022
Filed:
Jan 27, 2021
Appl. No.:
17/159805
Inventors:
- San Francisco CA, US
Seyedshahin Ashrafzadeh - Foster City CA, US
Alexandr Nikitin - El Sobrante CA, US
Manoj Agarwal - Cupertino CA, US
International Classification:
G06N 20/00
G06F 9/445
Abstract:
Using container and model information to select containers for executing models is described. A system receives a request from an application and identifies a version of a machine-learning model associated with the request. The system identifies model information associated with machine learning models corresponding to a cluster of available serving containers associated with the version of the machine-learning model. The system uses the model information to select a serving container from the cluster of available serving containers. If the machine-learning model is not loaded in the serving container, the system loads the machine-learning model in the serving container. If the machine-learning model is loaded in the serving container, the system executes, in the serving container, the machine-learning model on behalf of the request. The system responds to the request based on executing the machine-learning model on behalf of the request.

Isbn (Books And Publications)

Agriculture Industry Linkages In The Economy Of Uttar Pradesh

Author:
Manoj Kumar Agarwal
ISBN #:
8172110685

Tourism And Economic Development In Nepal

Author:
Manoj Kumar Agarwal
ISBN #:
8172111738

Readings In Industrial Marketing

Author:
Manoj K. Agarwal
ISBN #:
0137565453

Possible Relatives

A R Agarwal  Abhishek M Agarwal  Hans D Agarwal  Aditi N Agarwal  Kailash N Agarwal  Maya R Agarwal  Meena Agarwal  Manoj J Thomas  Manoj K Prasad  Manoj R Das 

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