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Vishal Parakh

from Seattle, WA
Age ~43
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Related to:
Nikhil Parakh, 38Nikhil Ashok ParakhAvani Parakh, 41Veena Parakh, 69
Connected to:
Devendra D Parakh, 56Mamta Parakh, 44Pratik Parakh, 50Sandeep Parakh, 49Shreyansh Parakh, 33James P Parakka, 61Scott P Paral, 61Steven J Paral, 68Gerri Paraldi, 79Toni M Paralikas, 43

Vishal Parakh Phones & Addresses

  • Seattle, WA

Work

Company: Apple Feb 2018 Position: Software engineer

Education

Degree: Bachelor of Engineering, Bachelors School / High School: R. V. College of Engineering, Bangalore Specialities: Computer Science, Engineering, Computer Science and Engineering

Skills

Distributed Systems • Software Development • Object Oriented Design • Software Engineering • Scalability • Java • C++ • Rest • Large Scale Systems • Agile Methodologies • Scrum • Amazon Web Services • Software Design

Industries

Computer Software

Resumes

Resumes

Vishal Parakh Photo 1

Software Engineer

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Location:
Seattle, WA
Industry:
Computer Software
Work:
Apple
Software Engineer
Amazon Web Services Oct 2014 - Feb 2018
Principal Software Development Engineer
Amazon Apr 2013 - Sep 2014
Principal Software Development Engineer
Amazon Apr 2011 - Mar 2013
Senior Software Development Engineer
Amazon Feb 2005 - May 2006
Software Development Engineer
Education:
R. V. College of Engineering, Bangalore
Bachelor of Engineering, Bachelors, Computer Science, Engineering, Computer Science and Engineering
Skills:
Distributed Systems
Software Development
Object Oriented Design
Software Engineering
Scalability
Java
C++
Rest
Large Scale Systems
Agile Methodologies
Scrum
Amazon Web Services
Software Design

Publications

Us Patents

Data Replication Framework

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US Patent:
8468132, Jun 18, 2013
Filed:
Dec 28, 2010
Appl. No.:
12/980258
Inventors:
Brian S. O'Neill - Seattle WA, US
Tobias L. Holgers - Jarfalla, SE
Archit Shivaprakash - Bellevue WA, US
Olga I. Kuznetsova - Seattle WA, US
Vishal Parakh - Seattle WA, US
Assignee:
Amazon Technologies, Inc. - Reno NV
International Classification:
G06F 7/00
G06F 17/00
US Classification:
707622
Abstract:
An eventually consistent replicated data store uses, for its underlying storage, a computer software library that provides a high-performance embedded database for data. The replicated data store employs a plurality of hosts interconnected to one another, allowing for writes to any host and full awareness of membership across all hosts. With such a data replication framework, various modes are allowed to be built up on top of the core system.

Data Replication Framework

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US Patent:
20130282656, Oct 24, 2013
Filed:
Jun 17, 2013
Appl. No.:
13/919824
Inventors:
Tobias L. Holgers - Jarfalla, SE
Archit Shivaprakash - Bellevue WA, US
Olga I. Kuznetsova - Seattle WA, US
Vishal Parakh - Seattle WA, US
International Classification:
G06F 17/30
US Classification:
707622
Abstract:
Generally described, the present disclosure is directed to an eventually consistent replicated data store that uses, for its underlying storage, a computer software library that provides a high-performance embedded database for data. The replicated data store employs a plurality of hosts interconnected to one another, allowing for writes to any host and full awareness of membership across all hosts. With the data replication framework disclosed herein, various modes are allowed to be built up on top of the core system.

Dynamic Selective Cache Compression

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US Patent:
8447948, May 21, 2013
Filed:
Apr 25, 2008
Appl. No.:
12/110121
Inventors:
Ozgun A. Erdogan - Seattle WA, US
Giuseppe deCandia - Seattle WA, US
Tobias L. Holgers - Seattle WA, US
Vishal Parakh - Seattle WA, US
Benjamin WS Redman - Seattle WA, US
Assignee:
Amazon Technologies, Inc - Reno NV
International Classification:
G06F 12/00
US Classification:
711173, 711129, 711153, 711159
Abstract:
Management of a data cache having a compressed portion and an uncompressed portion by adaptively and dynamically allocating the relative amount space each portion receives. The relative sizes are defined based on one or more cost metrics and benefit metrics. The metrics are selected based on the performance of an application utilizing the cache. An optimized benefit relative to the cost is defined. Application operations on the cache are sampled and the relative cost and benefit is determined for different ratios of uncompressed to compressed cache sizes. The size of the uncompressed portion relative to the compressed portion is then re-adjusted based on an optimal cost-to-benefit ratio for the application.

Data Replication Framework

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US Patent:
20170004196, Jan 5, 2017
Filed:
Sep 16, 2016
Appl. No.:
15/268435
Inventors:
- Seattle WA, US
Vishal Parakh - Seattle WA, US
Tobias L. Holgers - Jarfalla, SE
Archit Shivaprakash - Bellevue WA, US
International Classification:
G06F 17/30
Abstract:
Generally described, the present disclosure is directed to an eventually consistent replicated data store that uses, for its underlying storage, a computer software library that provides a high-performance embedded database for data. The replicated data store employs a plurality of hosts interconnected to one another, allowing for writes to any host and full awareness of membership across all hosts. With the data replication framework disclosed herein, various modes are allowed to be built up on top of the core system.
Control profile
Vishal Parakh from Seattle, WA, age ~43 Get Report