Search

Srinivasan Varadharajan Phones & Addresses

  • Mountain View, CA
  • Santa Clara, CA
  • San Jose, CA
  • 7950 Mcclellan Rd, Cupertino, CA 95014 (408) 252-8485
  • Fremont, CA
  • Milpitas, CA

Work

Company: Intel corporation Apr 2016 to Apr 2017 Position: Pe - principal engineer

Education

Degree: Master of Science, Masters School / High School: University of Maryland 1998 to 2000

Skills

Agile Methodologies • Distributed Systems • Cloud Computing • Software Development • Scrum • Scalability • Web Services • Enterprise Software • Saas • Software Engineering • Microsoft Sql Server • Hadoop • Enterprise Architecture • Nosql • Cassandra • .Net • Soa • Hbase • High Availability Architecture • .Net Framework • Software Architectural Design • Software Solution Architecture • Restful Webservices • Messaging • Iis • Database Design

Industries

Computer & Network Security

Resumes

Resumes

Srinivasan Varadharajan Photo 1

Pe - Principal Engineer

View page
Location:
491 Pariso Ter, Fremont, CA 94539
Industry:
Computer & Network Security
Work:
Intel Corporation Apr 2016 - Apr 2017
Pe - Principal Engineer

Mcafee Apr 2016 - Apr 2017
Pe - Principal Engineer

Intel Corporation Jun 2015 - Apr 2016
Senior Architect

Mcafee Jan 2009 - Jun 2015
Senior Software Architect

Intel Security May 2007 - Jan 2009
Technical Specialist
Education:
University of Maryland 1998 - 2000
Master of Science, Masters
Indian Institute of Technology, Madras 1994 - 1998
Bachelors, Bachelor of Technology
Skills:
Agile Methodologies
Distributed Systems
Cloud Computing
Software Development
Scrum
Scalability
Web Services
Enterprise Software
Saas
Software Engineering
Microsoft Sql Server
Hadoop
Enterprise Architecture
Nosql
Cassandra
.Net
Soa
Hbase
High Availability Architecture
.Net Framework
Software Architectural Design
Software Solution Architecture
Restful Webservices
Messaging
Iis
Database Design

Publications

Us Patents

Conductive Pvd Stack-Up Design To Improve Reliability Of Deposited Electrodes

View page
US Patent:
20210076525, Mar 11, 2021
Filed:
Sep 9, 2019
Appl. No.:
16/564655
Inventors:
- Cupertino CA, US
Anirban Das - Fremont CA, US
Jungyup Kim - Palo Alto CA, US
Martin Melcher - Mountain View CA, US
Srinivasan Varadharajan - Dublin CA, US
Wolf Oetting - San Jose CA, US
International Classification:
H05K 5/06
H05K 5/02
H05K 5/00
G04G 17/08
C23C 14/14
C23C 14/06
Abstract:
An electronic device can include a housing component that can define an interior surface and an exterior surface of the device, a metallic film deposited on the interior surface and extending at least partially onto the exterior surface, and a ceramic film deposited on the exterior surface and at least partially over a portion of the metallic film on the exterior surface. The ceramic film can be in electrical communication with a portion of the metallic film deposited on the interior surface to form an electrical pathway from the exterior surface to the interior surface.

Methods And Apparatus To Deconflict Malware Or Content Remediation

View page
US Patent:
20210058251, Feb 25, 2021
Filed:
Aug 21, 2019
Appl. No.:
16/547245
Inventors:
- Santa Clara CA, US
Srinivasan Varadharajan - Santa Clara CA, US
International Classification:
H04L 9/32
Abstract:
Methods, apparatus, systems, and articles of manufacture to deconflict malware or content remediation are disclosed. An example apparatus includes at least one processor and memory including instructions that, when executed, cause the at least one processor to at least identify data to be encoded into a token, compute a hashed string based on the data to be encoded, determine a number of characters to be included in the token, select a subset of characters from the hashed string, and generate the token using the subset of characters from the hashed string.

Methods And Apparatus To Deconflict Malware Or Content Remediation

View page
US Patent:
20210058401, Feb 25, 2021
Filed:
Aug 21, 2019
Appl. No.:
16/547250
Inventors:
- Santa Clara CA, US
Srinivasan Varadharajan - Santa Clara CA, US
International Classification:
H04L 29/06
Abstract:
Methods, apparatus, systems, and articles of manufacture to deconflict malware or content remediation are disclosed. An example apparatus includes a site redirector to identify a first request to be transmitted from a client device to a destination site identified by a uniform resource locator (URL), a site verifier to determine whether the first request indicates that a user has authorized navigation to the destination site, and a URL encoder to, in response to determining that the user has authorized the navigation to the destination site, generate a data field based the domain of the destination site, the site redirector to transmit a second request to a network security monitor, the second request to indicate to the network security monitor that the user has authorized the navigation to the destination site, the second request including the data field and the URL.

System And Method For Analyzing Transaction Nodes Using Visual Analytics

View page
US Patent:
20190370812, Dec 5, 2019
Filed:
May 31, 2019
Appl. No.:
16/428353
Inventors:
- San Francisco CA, US
Srinivasan Varadharajan - Palo Alto CA, US
Hemant Deshpande - Palo Alto CA, US
Prashant Trivedi - Palo Alto CA, US
International Classification:
G06Q 20/40
G06N 20/00
Abstract:
An account holder's portfolio of transactions may be represented as a network of interconnected transaction nodes where each node represents a credit card transaction. This network may then be analyzed using artificial intelligence and machine learning techniques coupled with visual representations of the interrelated nodes to draw conclusions. An account holder or other system entity may report a fraudulent transaction that employs the holder's account information. A backend system may organize transaction information as a network of data nodes that includes a variety of interrelated information. The backend system may then identify all financial transaction “nodes” within the network that are related or connected by common data. For example, multiple transactions may include a common merchant as the reported fraudulent transaction. The backend may then perform an analysis of the nodes to identify likely fraudulent transactions based on one or more of the data elements for each node.
Srinivasan Varadharajan from Mountain View, CA, age ~64 Get Report