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Gavin Romig-Koch Phones & Addresses

  • Cary, NC

Work

Company: Red hat Position: Principal software engineer

Education

Degree: Bachelors, Bachelor of Arts School / High School: North Carolina State University 1981 to 1985 Specialities: Computer Science

Skills

C • Linux • C++ • Unix • Open Source • Software Development • Shell Scripting • Software Engineering • Bash • Java • Agile Methodologies • Xml • Cvs • Subversion • Red Hat Linux • Compilers • Redhat • Javascript • Programming • Open Source Software • Computer Science • Code • Api • Agile • Oop • Compiler Development

Industries

Computer Software

Resumes

Resumes

Gavin Romig-Koch Photo 1

Open Source Developer

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Location:
Durham, NC
Industry:
Computer Software
Work:
Red Hat
Principal Software Engineer

Cygnus Solutions 1996 - 2000
Software Engineer

SAS Institute 1987 - 1996
Software Developer

sas institute 1986 - 1996
Software developer
Education:
North Carolina State University 1981 - 1985
Bachelors, Bachelor of Arts, Computer Science
Northern Hich School Durham Nc
Skills:
C
Linux
C++
Unix
Open Source
Software Development
Shell Scripting
Software Engineering
Bash
Java
Agile Methodologies
Xml
Cvs
Subversion
Red Hat Linux
Compilers
Redhat
Javascript
Programming
Open Source Software
Computer Science
Code
Api
Agile
Oop
Compiler Development

Publications

Us Patents

Predicting Symptoms Of Run-Time Problems Based On Analysis Of Expert Decision Making

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US Patent:
20140068330, Mar 6, 2014
Filed:
Sep 6, 2012
Appl. No.:
13/605018
Inventors:
Andrew Hecox - Raleigh NC, US
Gavin Romig-Koch - Cary NC, US
International Classification:
G06F 11/28
G06N 5/02
US Classification:
714 26, 714E11178
Abstract:
Systems, methods, and non-transitory computer-readable storage media for receiving historical data describing behavior of human subject-matter experts, wherein the historical data links customer problems with solutions, receiving a plurality of human-generated algorithms describing patterns for linking customer problems with solutions based on problem-specific diagnostic data, comparing each algorithm of the plurality of algorithms with the historical data to determine respective predictive scores for linking a customer problem type with a particular solution, and ranking at least part of the plurality of algorithms based on the respective similarity scores.

Automated Problem Resolution

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US Patent:
20180150348, May 31, 2018
Filed:
Nov 30, 2016
Appl. No.:
15/364835
Inventors:
- Raleigh NC, US
Gavin Romig-Koch - Raleigh NC, US
International Classification:
G06F 11/07
Abstract:
Mechanisms for generating a remediation script to resolve a problem condition in a remote computing device are provided. System information associated with a remote computing device is accessed. A plurality of rules that process the system information are run. Each rule is configured to determine whether a problem condition of a plurality of problem conditions exists in the remote computing device. At least one rule determines, based on the system information, that a problem condition exists. A remediation script is generated from a template based on at least one characteristic of the remote computing device, that, if executed on the remote computing device, implements a first solution that resolves the problem condition.
Gavin L Romig-Koch from Cary, NC Get Report