Mayank Agarwal

In the United States, there are 57 individuals named Mayank Agarwal spread across 30 states, with the largest populations residing in California, Texas, New Jersey.

Public information about Mayank Agarwal

Resumes

Teaching Assistant

Location:

Atlanta, GA

Industry:

Education Management

Work:

Indian Institute of Technology (Bhu) Varanasi
Teaching Assistant Indian Oil Corporation Limited Jun 2015 - Jun 2015
Trainee Suratgarh Super Thermal Power Station Jun 2014 - Jun 2014
Trainee

Education:

Kamla Nehru Institute of Technology,Sultanpur 2012 - 2016
Bachelors, Bachelor of Technology, Mechanical Engineering

Skills:

Microsoft Office, Customer Service, Microsoft Excel, Project Management, Management, Microsoft Word, Powerpoint, Strategic Planning, Leadership, Research, C

Interests:

Social Services
Children
Environment
Education
Poverty Alleviation
Science and Technology
Disaster and Humanitarian Relief
Health

Languages:

English
Hindi

Certifications:

Edx Honor Code Certificate For English Grammar and Essay Writing
License 1794650-211

Distinguished Architect

Location:

Seattle, WA

Industry:

Computer Software

Work:

Splunk
Distinguished Architect Stealth Mode Company
Founder Vmware Dec 2013 - Apr 2018
Senior Staff Engineer, Vrealize Log Insight Microsoft Jun 2009 - Nov 2013
Senior Software Development Engineer Intel Corporation May 2007 - Aug 2007
Graduate Summer Intern Nvidia May 2005 - Aug 2005
Summer Intern

Education:

University of Illinois at Urbana - Champaign 2004 - 2006
Master of Science, Doctorates, Masters, Doctor of Philosophy, Computer Science, Philosophy Indian Institute of Technology, Delhi 2000 - 2004
Bachelors, Bachelor of Technology, Computer Science, Engineering, Computer Science and Engineering

Skills:

Win32 Api, Computer Architecture, Multithreading, Compilers, Distributed Systems, Web Services, Algorithms, Visual Studio, Operating Systems, Agile Methodologies, Software Engineering, Parallel Computing, Software Development, Perl, High Performance Computing, Debugging, C#, Software Design, .Net, C++, Scalability, C, Object Oriented Design, Cloud Computing, Java, Linux

Public Health Professional

Location:

Greater Los Angeles Area

Industry:

Hospital & Health Care

Work:

Loma linda University School of Public Health Sep 2009 - Aug 2010
Health Policy and GIS Student Loma Linda University April 2010 Apr 2010 - Apr 2010
Data Entry Operator, Office of Public Health Preparedness M/s Bhagwati Ghee, - manufacturers of Feb 2006 - Jul 2008
Communications and Infrastructure Manager Indraprastha Apollo Hospitals Apr 2005 - Nov 2005
Resident Doctor Goyal Nursing Home Railway Road, Etah, U.P. India Aug 2003 - Feb 2005
Resident Doctor - ObGyn

Education:

HiMSS e-learning Academy 2010 - 2011
None, Health Information Management Loma Linda University 2009 - 2011
M.P.H., Health Policy and G.I.S. NHIN University ( National e-Health Collaborative) 2010 - 2010
------, National Health Information Network Emory University 2008 - 2009
M.P.H., Healthcare Administration Sarojini Naidu Medical College, Agra 1997 - 2003
M.B.B.S., Medicine Doctor Bhim Rao Ambedkar University 1996 - 1997
Bachelors of Science (Ist year) Dr. B, Science CMEs from Johns Hopkins, Harvard Medical School

Interests:

Healthcare IT Policy, Health Education, Healthcare Program Planning, Healthcare Quality, Clinical Decision Support Systems

Honor & Awards:

Dean's List - N.H.I.N. University - National e Health Collaborative

Principal Investigator

Location:

701 south Nedderman Dr, Arlington, TX 76019

Industry:

Pharmaceuticals

Work:

Sanofi
Principal Investigator Zimmer Biomet Apr 2017 - Apr 2019
Manufacturing Packaging Engineer The University of Texas at Arlington May 2016 - Dec 2016
Student Assistant Shini Plastics Technologies India Pvt Ltd Dec 2011 - Nov 2014
Production Supervisor Sleek International Pvt. Ltd. (Asian Paints Subsidiary Company) Oct 2010 - Nov 2011
R and D Engineer

Education:

Trine University 2020 - 2021
Master of Business Administration, Masters The University of Texas at Arlington 2015 - 2016
Master of Science, Masters, Industrial Engineering, Engineering Fr.c.rodrigues Institute of Technology 2006 - 2010
Bachelors, Mechanical Engineering

Skills:

Microsoft Office, Manufacturing, Autocad, Lean Manufacturing, Microsoft Excel, Business Development, Mechanical Engineering, Microsoft Word, Market Research, Product Development, 5S, Six Sigma, Catia, Powerpoint, C++, Microsoft Powerpoint, Leadership, Verification and Validation, Statistical Process Control, Iso 13485, Root Cause Analysis, Continuous Improvement, Corrective and Preventive Action, Iso 9001, Quality System, Failure Mode and Effects Analysis, Standard Operating Procedure, Risk Management, Process Validation, Deviations, Work Instructions, 21 Cfr Part 820

Interests:

Education

Languages:

English
French
German

Certifications:

Catia V5 R17
Automtaion Engineer
Sas Programming-1: Essentials
License C-Nnjgmwuw5X
Indo-German Training Centre (Igtc)
Smec Automation
Sas
Dassault Systèmes, License C-Nnjgmwuw5X
Solidworks

Assistant Consultant

Location:

San Francisco, CA

Industry:

Computer Software

Work:

Tata Consultancy Services
Assistant Consultant Exilant Technologies Private Limited Oct 2012 - Oct 2014
Systems Analyst Exilant Technologies Private Limited Apr 2012 - Sep 2012
Program Analyst Exilant Technologies Private Limited Jan 2010 - Apr 2012
Software Engineer

Skills:

Informatica, Data Warehousing, Unix Shell Scripting, Teradata, Pl/Sql, Etl, Unix, Requirements Analysis, Autosys, Shell Scripting, Hadoop, Oracle, Autosys Scheduler, Hive

Client Executive It Infrastructure Services

Position:

Client Executive for IT Infrafracture Services at Infosys

Location:

Houston, Texas Area

Industry:

Outsourcing/Offshoring

Work:

Infosys - Houston, Texas Area since Sep 2008
Client Executive for IT Infrafracture Services Infosys Sep 2005 - Dec 2009
Strategic Planning and Marketing IT Infrastructure Services Gecis Jul 2003 - Sep 2005
Transition Manager PricewaterhouseCoopers Feb 2001 - Jul 2003
Senior Consultant

Education:

NITIE 1999 - 2001
PGDIM, Systems, Marketing Dayalbagh Educational Institute 1995 - 1999
BE Electrical, Electrical Engineering SPSEC 1988 - 1995
Class XII

Software Developer

Location:

Buffalo, NY

Industry:

Computer Software

Work:

Epic
Software Developer Monster Jun 3, 2014 - Aug 2014
Software Developer Intern Persistent Systems Jul 2012 - Jul 2013
Senior Software Engineer Persistent Systems Jul 2010 - Jun 2012
Software Engineer

Education:

University at Buffalo 2013 - 2014
Masters, Computer Science Bansilal Ramnath Agarwal Charitable Trusts, Vishwakarma Institute of Informatics Technology,Pune 2006 - 2010
Bachelor of Engineering, Bachelors, Computer Engineering, Software Engineering Khaitan Public School 1996 - 2006
Vishwakarma Institute of Information Technology
The Khaitan School

Skills:

Java, Hadoop, Core Java, C, Jsp, Databases, Software Development, Spring Framework, Distributed Systems, Mapreduce, Data Structures, Hibernate, Sqoop, Pl/Sql, Android, Android Sdk, R, Programming, Oracle, Microsoft Sql Server, Spring, Machine Learning, Struts, Matlab, Jms, Data Science

Product Manager

Location:

Stanford, CA

Industry:

Internet

Work:

Groupon
Product Manager Moovweb Jun 2017 - Aug 2017
Product Management Intern Bountiful Solutions Jan 2017 - Mar 2017
Co-Founder and Chief Product Officer Adobe Jul 2013 - Aug 2016
Member of Technical Staff Ii Concergys Aug 2012 - Feb 2014
Escallations Engineer Adobe Aug 2012 - Feb 2014
Technical Support Associate Adobe Aug 2012 - Feb 2014
Software Engineer

Education:

Stanford University 2016 - Jun 2018
Masters, Engineering, Management Science Indian Institute of Information Technology 2009 - 2013
Bachelors, Bachelor of Technology, Computer Science Little Flowers Public Sr Sec School 1996 - 2008
Kamla Nehru Institute of Technology
Bachelors, Bachelor of Technology S.d. Public School

Skills:

C++, C, Data Structures, Algorithms, Java, Mysql, Databases, Sql, Parallel Computing, Natural Language Processing, Python, R, Matlab, Design Thinking, Tensorflow, Pytorch

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Phones & Addresses

Name

Addresses

Phones

Mayank Agarwal

300 Cold Spring Rd, Rocky Hill, CT 06067

860-563-3671

Mayank Agarwal

3206 Throop St, Chicago, IL 60608

773-376-6089

Mayank Agarwal

8 Emerson Way, Hopkinton, MA 01748

508-740-8882

Mayank Agarwal

622 Aspen Dr, Flowerfield, IL 60148

630-268-8512, 630-317-7264

Mayank Agarwal

1381 State St, Lafayette, IN 47906

Mayank Agarwal

23 Village Pl UNIT 32, Secaucus, NJ 07094

Mayank Agarwal

1300 Worcester Rd, Framingham, MA 01702

508-620-0768

Mayank Agarwal

190 Algonquin Trl, Ashland, MA 01721

508-881-2166

Publications

US Classification:

717128, 717131, 717133, 717158, 719315, 709213

Abstract:

The construction or use of a hierarchical time tree that represents an execution time of a program. To construct the hierarchical time tree, the time frame corresponding to the root node is the execution time during which the plurality of call stack samples were gathered from the program. Beginning at the root node, and proceeding recursively, each node is then populated in a manner that all of the call stacks for a given time period need not be accessed in order to provide a report regarding the given time period.

Automated Configuration Based Deployment Of Stream Processing Pipeline

US Patent:

2019026, Aug 29, 2019

Filed:

Feb 28, 2018

Appl. No.:

15/908690

Inventors:

- Palo Alto CA, US
Mayank AGARWAL - Kirkland WA, US

Assignee:

VMware Inc. - Palo Alto CA

International Classification:

H04L 29/08
H04L 12/861
H04L 12/24

Abstract:

Techniques for generating a stream processing pipeline are provided. In one embodiment, a method includes receiving a configuration file from a data service. The configuration file represents a pipeline configuration of the stream processing pipeline, and the pipeline configuration includes representations of a plurality of different types of pipeline stages configured based on a respective customization of an entity. The method further includes generating a plurality of pipeline stages in accordance with the pipeline configuration of the stream processing pipeline; collecting, at one or more pipeline stages of a first-type in the stream processing pipeline, data items from one or more data sources; processing the collected data items at one or more pipeline stages of a second-type in the stream processing pipeline; and transmitting, at one or more pipeline stages of a third-type in the stream processing pipeline, the processed data items to the data service.

Feedback Driven Decision Support In Partially Observable Settings

US Patent:

2021003, Feb 4, 2021

Filed:

Jul 29, 2019

Appl. No.:

16/524291

Inventors:

- Armonk NY, US
Yasaman KHAZAENI - Needham MA, US
Mayank AGARWAL - Cambridge MA, US

International Classification:

G06K 9/62
G06N 5/04
G06N 7/00

Abstract:

A novel formulation called the Context-Attentive Bandit with Observations (CABO) is described, where only a limited number of features can be accessed by the learner. The present invention is applicable to many problems including problems arising in clinical settings and dialog systems where it is not possible to reveal the whole feature set. The present invention adapts the standard contextual bandit algorithm known as Thompson Sampling with a novel algorithm, we call Context-Attentive Thompson Sampling with Observations (CATSO). Experimental results are included to demonstrate its effectiveness including a regret analysis and an empirical evaluation demonstrating advantages of the disclosed novel approach on several real-life datasets.

Adaptive Tree Structure For Visualizing Data

US Patent:

8595750, Nov 26, 2013

Filed:

Nov 30, 2010

Appl. No.:

12/956127

Inventors:

Mayank Agarwal - Redmond WA, US
Alexander Dadiomov - Redmond WA, US
Xinhua Ji - Redmond WA, US

Assignee:

Microsoft Corporation - Redmond WA

International Classification:

G06F 9/46

US Classification:

719318, 717125, 717127, 717131, 715705

Abstract:

One or more systems and/or techniques for generating an adaptive tree structure for storing event data based upon data density of events are disclosed. In particular, the adaptive tree structure may comprise one or more levels of nodes, where a level may correspond to a resolution of events. Nodes may correspond to particular time spans over which event data was recorded. A node may be designated as a raw node comprising raw events or a summary node comprising summary events based upon the number of events occurring within a time span covered by the node.

Online Partially Rewarded Learning

US Patent:

2021006, Mar 4, 2021

Filed:

Aug 28, 2019

Appl. No.:

16/554344

Inventors:

- Armonk NY, US
Mayank Agarwal - Cambridge MA, US
Yasaman Khazaeni - Needham MA, US

International Classification:

G16H 50/20
G16H 10/20
G06N 3/08
G06N 20/00
G06F 16/901
G06F 17/15
G06F 17/16

Abstract:

A feature vector characterizing a system to be analyzed via online partially rewarded machine learning is obtained. Based on the feature vector, a decision is made, via the machine learning, using an online policy. The system is observed for environmental feedback. In at least a first instance, wherein the observing indicates that the environmental feedback is available, the environmental feedback is obtained. In at least a second instance, wherein the observing indicates that the environmental feedback is missing, the environmental feedback is imputed via an online imputation method. the online policy is updated based on results of the obtained environmental feedback and the online imputation method. A decision is output based on the updated online policy.

Bayesian Nonparametric Learning Of Neural Networks

US Patent:

2021008, Mar 25, 2021

Filed:

Sep 20, 2019

Appl. No.:

16/576927

Inventors:

- Armonk NY, US
Mayank AGARWAL - Cambridge MA, US
Soumya GHOSH - Boston MA, US
Trong Nghia HOANG - Cambridge MA, US
Yasaman KHAZAENI - Needham MA, US

Assignee:

International Business Machines Corporation - Armonk NY

International Classification:

G06N 3/08
G06N 3/04

Abstract:

In federated learning problems, data is scattered across different servers and exchanging or pooling it is often impractical or prohibited. A Bayesian nonparametric framework is presented for federated learning with neural networks. Each data server is assumed to provide local neural network weights, which are modeled through our framework. An inference approach is presented that allows us to synthesize a more expressive global network without additional supervision, data pooling and with as few as a single communication round. The efficacy of the present invention on federated learning problems simulated from two popular image classification datasets is shown.

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FAQ: Learn more about Mayank Agarwal

Who is Mayank Agarwal related to?

Known relatives of Mayank Agarwal are: Belinda Johnson, Delroy Bennett, Charles Bennett, Ritesh Agarwal, Colleen Powderly. This information is based on available public records.

What is Mayank Agarwal's current residential address?

Mayank Agarwal's current known residential address is: 9016 Cliff Cameron Dr Apt 102, Charlotte, NC 28269. Please note this is subject to privacy laws and may not be current.

What are the previous addresses of Mayank Agarwal?

Previous addresses associated with Mayank Agarwal include: 9016 Cliff Cameron Dr Apt 102, Charlotte, NC 28269; 8 Emerson Way, Hopkinton, MA 01748; 23 Village Pl Unit 32, Secaucus, NJ 07094; 101 Mc Lellan Dr Apt 2061, S San Fran, CA 94080; 100 Buckingham Dr Apt 111, Santa Clara, CA 95051. Remember that this information might not be complete or up-to-date.

Where does Mayank Agarwal live?

Charlotte, NC is the place where Mayank Agarwal currently lives.

How old is Mayank Agarwal?

Mayank Agarwal is 46 years old.

What is Mayank Agarwal date of birth?

Mayank Agarwal was born on 1978.

What is Mayank Agarwal's email?

Mayank Agarwal has email address: pallavig***@yahoo.com. Note that the accuracy of this email may vary and this is subject to privacy laws and restrictions.

What is Mayank Agarwal's telephone number?

Mayank Agarwal's known telephone numbers are: 508-740-8882, 860-770-6375, 281-679-8790, 713-993-0870, 408-735-5973, 408-982-3974. However, these numbers are subject to change and privacy restrictions.

Who is Mayank Agarwal related to?

Known relatives of Mayank Agarwal are: Belinda Johnson, Delroy Bennett, Charles Bennett, Ritesh Agarwal, Colleen Powderly. This information is based on available public records.

Ages	31 to 49
Phones	508-740-8882	860-770-6375	281-679-8790
Addresses	12713 Ne 107Th Pl, Kirkland, WA 98033	9016 Cliff Cameron Dr Apt 102, Charlotte, NC 28269	8 Emerson Way, Hopkinton, MA 01748
Business records	Health Policy and GIS Student / Loma linda University School of Public Health	Software Development Engineer / Microsoft	Client Executive for IT Infrafracture Services / Infosys

Mayank Agarwal

What do we know about Mayank Agarwal

Public information about Mayank Agarwal

Resumes

Resumes

Teaching Assistant

Distinguished Architect

Public Health Professional

Principal Investigator

Assistant Consultant

Client Executive It Infrastructure Services

Software Developer

Product Manager

Phones & Addresses

Publications

Us Patents

System And Method For Crop Health Monitoring

Efficient Log-File-Based Query Processing

Dynamic Calculation Of Sample Profile Reports

Automated Configuration Based Deployment Of Stream Processing Pipeline

Feedback Driven Decision Support In Partially Observable Settings

Adaptive Tree Structure For Visualizing Data

Online Partially Rewarded Learning

Bayesian Nonparametric Learning Of Neural Networks

FAQ: Learn more about Mayank Agarwal

Possible Relatives