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Pankaj Rastogi Phones & Addresses

  • 3028 Mousa Ct, San Jose, CA 95135
  • Sunnyvale, CA
  • Saint Louis, MO
  • San Francisco, CA

Resumes

Resumes

Pankaj Rastogi Photo 1

Staff Data Engineer

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Location:
180 Locksunart Way, Sunnyvale, CA 94087
Industry:
Computer Software
Work:
Intuit
Staff Data Engineer

Verizon Labs May 2014 - Jan 2018
Engineering Lead, Big Data Platform

Corelogic Nov 2005 - May 2014
Senior Software Architect

Aig Mar 2001 - Oct 2005
Senior Developer

Tata Consultancy Services Sep 1999 - Feb 2001
It Analyst
Education:
Panjab University,Chandigarh 1995 - 1999
Bachelors, Electronics Engineering, Electronics
Punjab Engineering College 1995 - 1999
Bachelors, Electronics Engineering, Electronics
Malaviya Regional Engineering College
Bachelors, Electrical Engineering
Skills:
Web Services
Agile Methodologies
Soa
Sdlc
Software Development
Requirements Analysis
Scrum
Java Enterprise Edition
Enterprise Architecture
Java
Software Project Management
Pl/Sql
Integration
Xml
Hibernate
Business Analysis
Agile Project Management
Solution Architecture
Weblogic
Software Development Life Cycle
Business Intelligence
Apache Spark
Apache Kafka
Cassandra
Hadoop
Pankaj Rastogi Photo 2

Apple Production Support - Worldwide Retail And Enterprise Integration

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Location:
San Francisco, CA
Industry:
Information Technology And Services
Work:
Accenture Jan 2004 - Feb 2014
Program, Service and Delivery Management

Apple Jan 2004 - Feb 2014
Apple Production Support - Worldwide Retail and Enterprise Integration

Infosys Jul 1999 - Dec 2003
Resident Project Coordinator
Education:
Malaviya National Institute of Technology Jaipur
Bachelor of Engineering, Bachelors, Electrical Engineering
Massachusetts Institute of Technology
Skills:
Data Warehousing
It Strategy
Business Intelligence
Management
Global Delivery
Risk Management
Analytics
Etl
Offshoring
Epic Resolute Professional Billing
Service Delivery Management
Actuarial Rating and Underwriting
Healthcare Industry
Program Delivery Management
Contract Management
Service Level Management
Datastage
Icd 10
Languages:
English
Hindi
Certifications:
Resolute Professional Billing Administration Certification - Epic 2012/2010
Money and Banking
Brokerage Operations
Big Data: Overview, Tools and Use Cases
Epic
New York Institute of Finance
Pankaj Rastogi Photo 3

Pankaj Rastogi

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Pankaj Rastogi Photo 4

Pankaj Rastogi

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Publications

Us Patents

Real Time Fault Tolerant Stateful Featurization

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US Patent:
20230018388, Jan 19, 2023
Filed:
Sep 26, 2022
Appl. No.:
17/935238
Inventors:
- Mountain View CA, US
Pankaj RASTOGI - Fremont CA, US
Sumanth VENKATASUBBAIAH - Mountain View CA, US
Qingbo HU - Burlingame CA, US
Karthik PRAKASH - Milpitas CA, US
Nicholas Jeffrey HOH - Mountain View CA, US
Frank WISNIEWSKI - San Francisco CA, US
Abhishek JAIN - Mountain View CA, US
Caio Vinicius SOARES - Redwood City CA, US
Yuwen WU - Mountain View CA, US
International Classification:
G06F 16/23
G06N 20/00
G06N 5/02
G06F 9/54
Abstract:
Certain aspects of the present disclosure provide techniques for operation of a feature management platform. A feature management platform is an end-to-end platform developed to manage the full lifecycle of data features. For example, to create a stateful feature, the feature management platform can receive a processing artifact from a computing device. The processing artifact defines the stateful feature, including the data source to retrieve event data from, when to retrieve the event data, the type of transform to apply, etc. Based on the processing artifact, the feature management system generates a processing job (e.g., the API defines a pipeline), which when initiated generates a vector that encapsulates the stateful feature. The vector is transmitted to the computing device that locally hosts a model, which generates a prediction that is transmitted to the feature management platform. Subsequently, the predication and stateful feature can be transmitted to other computing devices.

Batch To Stream Processing In A Feature Management Platform

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US Patent:
20210373914, Dec 2, 2021
Filed:
May 29, 2020
Appl. No.:
16/887794
Inventors:
- Mountain View CA, US
Karthik PRAKASH - Milpitas CA, US
Pankaj RASTOGI - Fremont CA, US
Sumanth VENKATASUBBAIAH - Mountain View CA, US
International Classification:
G06F 9/445
Abstract:
Certain aspects of the present disclosure provide techniques for a “hand-off” operation of a feature management platform. A feature management platform can receive a request to generate feature data based on batch and streaming data. To generate such feature data, a “hand-off” occurs between a batch processing job to a stream processing job. The feature management platform can initiate the batch processing job to generate a first set of feature data. Once all of the feature data is generated by the batch processing job, the feature data is saved in an offline database. The feature data with the maximum timestamp is saved in an online database, and the maximum timestamp is saved in a persistent database. With the maximum timestamp, the feature management platform begins the stream processing job. Once feature data is generated by the stream processing job, the feature data is stored in an offline or online database.

Real Time Fault Tolerant Stateful Featurization

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US Patent:
20210374127, Dec 2, 2021
Filed:
May 29, 2020
Appl. No.:
16/888234
Inventors:
- Mountain View CA, US
Pankaj RASTOGI - Fremont CA, US
Sumanth VENKATASUBBAIAH - Mountain View CA, US
Qingbo HU - Foster City CA, US
Karthik PRAKASH - Milpitas CA, US
Nicholas Jeffrey HOH - Sunnyvale CA, US
Frank WISNIEWSKI - San Francisco CA, US
Abhishek JAIN - Mountain View CA, US
Caio Vinicius SOARES - Redwood City CA, US
Yuwen Ellen WU - Mountain View CA, US
International Classification:
G06F 16/23
G06F 9/54
G06N 5/02
G06N 20/00
Abstract:
Certain aspects of the present disclosure provide techniques for operation of a feature management platform. A feature management platform is an end-to-end platform developed to manage the full lifecycle of data features. For example, to create a stateful feature, the feature management platform can receive a processing artifact from a computing device. The processing artifact defines the stateful feature, including the data source to retrieve event data from, when to retrieve the event data, the type of transform to apply, etc. Based on the processing artifact, the feature management system generates a processing job (e.g., the API defines a pipeline), which when initiated generates a vector that encapsulates the stateful feature. The vector is transmitted to the computing device that locally hosts a model, which generates a prediction that is transmitted to the feature management platform. Subsequently, the predication and stateful feature can be transmitted to other computing devices.
Pankaj Rastogi from San Jose, CA, age ~51 Get Report