Krishna Yasam
Tech Architect Cloud Architect Ai Engineer @GEICO
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WORK HISTORY
Tech Architect Cloud Architect Ai Engineer @GEICO
US
EDUCATION
The University of Texas at Austin
Master of Science - MS, Artificial Intelligence
JNTUH College of Engineering Hyderabad
Bachelor of Technology - BTech, Electrical and Electronics Engineering
ABOUT KRISHNA YASAM
15 years of experience as ProjectTechLead in well reputed organizations which includes the involvement in requirement analysis, design, development, deployment, enhancements, maintenance, debugging and testing of.Net Azure applications and a self-motivated, enthusiastic, and DevOps Architect. The individual should possess valuable experience in application build/deployment/support for on-premise and cloud computing including networking, system administration knowledge. Current skill set includes DEVOPS TFS,GIT,SVN,VSTS similar tools for automated build, release and deployment processes and cloud azure and ASP.Net and C#.NET MVC.NetCore, SQL Server, Web Services, WCF, Bootstrap, HTML, JavaScript, CSS, XML.•On Board an application to VSTS (TFS/Git/Jenkins) for build and need to deploy into the multiple environments.•My responsibilities includes developing Restful services & bug fixing using MVC Web API on.NET.•Strong understanding of Continuous Integration and Continuous Delivery concepts. •Strong experience Understanding of with CI Engines including distributed build system management. •Strong experience with code repositories like GIT, SVN including migration, backup, hooks, and replication.•Strong experience with administration of Jira, Confluence, and other Atlassian tools including setup, migration, backup, upgrades, customizations using workflows and projects, APIs. •Experience with testing tools added plus. •Experience in setup and management of code analysis tools like SonarQube or similar. •Exposure to windows batch scripting with or without PowerShell. •Good understanding of artifactory, Docker, Puppet, chef. •Good understanding on security aspect of application setup. •Good understanding of on-premise server infrastructure and architecture Vs Cloud computing architecture setup like IaaS, PaaS, SaaS concepts. •Experience on working with Microsoft Azure cloud services.
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