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Ashok B Doddapaneni

from Fremont, CA
Age ~50

Ashok Doddapaneni Phones & Addresses

  • 48906 Sauvignon Ct, Fremont, CA 94539 (408) 394-4188
  • 39559 Ross Cmn, Fremont, CA 94538
  • 224 Woodcreek Cmn, Fremont, CA 94539
  • Fitchburg, MA
  • 718 Old San Francisco Rd, Sunnyvale, CA 94086
  • San Francisco, CA
  • Alameda, CA

Work

Company: Securiti.ai Nov 2018 Position: Head of privaci engineering

Education

Degree: Bachelors, Bachelor of Science School / High School: Jawaharlal Nehru Technological University Specialities: Computer Science, Engineering

Skills

Distributed Systems • Tcp/Ip • System Architecture • Agile Methodologies • Start Ups • Networking • Operating Systems • Linux • Cloud Computing • Team Building • Device Drivers • Ethernet • Software Development • Strategic Planning • Product Management • Conflict Resolution • Firewalls • Unix • Enterprise Software • Organizational Development • Routing • Architecture • Internet Protocol Suite • Embedded Systems • Software As A Service • Saas • Software Engineering • Strategy

Languages

English

Interests

Science and Technology • Children • Education

Industries

Computer Software

Resumes

Resumes

Ashok Doddapaneni Photo 1

Head Of Privaci Engineering

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Location:
48906 Sauvignon Ct, Fremont, CA 94539
Industry:
Computer Software
Work:
Securiti.ai
Head of Privaci Engineering

Symantec 2015 - Nov 2018
Senior Director of Engineering, Cloud Security

Shieldx Networks May 2016 - May 2018
Advisory Board Member

Ss8 Networks 2011 - 2014
Director of Engineering

Mcafee 2008 - 2011
Director of Engineering
Education:
Jawaharlal Nehru Technological University
Bachelors, Bachelor of Science, Computer Science, Engineering
Jawaharlal Nehru Technological University
Bachelors
Skills:
Distributed Systems
Tcp/Ip
System Architecture
Agile Methodologies
Start Ups
Networking
Operating Systems
Linux
Cloud Computing
Team Building
Device Drivers
Ethernet
Software Development
Strategic Planning
Product Management
Conflict Resolution
Firewalls
Unix
Enterprise Software
Organizational Development
Routing
Architecture
Internet Protocol Suite
Embedded Systems
Software As A Service
Saas
Software Engineering
Strategy
Interests:
Science and Technology
Children
Education
Languages:
English

Publications

Us Patents

System And Method For Indexing A Capture System

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US Patent:
20130246338, Sep 19, 2013
Filed:
Sep 14, 2007
Appl. No.:
11/900964
Inventors:
Ashok Doddapaneni - Fremont CA, US
International Classification:
G06F 17/30
H04L 12/70
US Classification:
707602, 707E17108
Abstract:
An indexer to index keyword and metadata input to or captured by a network capture device acting on a stream of captured content is described. A keyword is a word, phrase, name, or other alphanumeric term that exists within common textual content such as an email, Microsoft Office document, or similar content. Metadata includes properties describing the network characteristics of the content containing keywords. Examples of network characteristics include, but are not limited to, the source and destination addresses (Internet Protocol (IP) addresses), time and date of the transmission, size and name of the content, and protocol used to transmit the content. Additional descriptive properties may be used to describe the device upon which the content was captured, the user, viewer of the captured content or security settings of the captured content, etc.

Intelligent Feedback Loop To Iteratively Reduce Incoming Network Data For Analysis

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US Patent:
20140086102, Mar 27, 2014
Filed:
Sep 25, 2012
Appl. No.:
13/626367
Inventors:
Ashok Babu Doddapaneni - Fremont CA, US
International Classification:
H04L 12/26
US Classification:
370259
Abstract:
A method, apparatus and system related to an intelligent feedback loop to iteratively reduce target packet analysis is disclosed. According to one embodiment, a method of a network traffic monitoring system includes processing a flow data received through an aggregation switch of a network traffic monitoring system in a first stage module of the network traffic monitoring system, filtering the flow data to a target data based on a packet classification in the first stage module, determining that a portion of a target data is an extraneous data based on a content filtering algorithm applied in a data processing system of the network traffic monitoring system, and iteratively removing from the target data the extraneous data based on a feedback loop created between the data processing system and the first stage module of the network traffic monitoring system.
Ashok B Doddapaneni from Fremont, CA, age ~50 Get Report