Having 2.6 + years of experience in IT. AWS Certified(2X) Solutions Architect & Developer – Associate.Completed my Post Graduation in Cloud Computing from Manipal Academy of Higher Education and Pursuing DevOps Engineer Masters Program from edureka
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Experience
● Worked on Amazon Web Services (AWS) VPC, EC2, ELB, Auto-Scaling, S3, IAM,
Route 53 and Cloud Watch.
● Utilize Amazon Glacier for archiving data.
● Experience in IAM to create new accounts, roles, groups, and policies.
● Cloud Watch to monitor EC2 Instances and to send notifications.
● Configuring and managing ELBs, S3 storage with policies.
● Creating AMI images of the EC2 instance as a backup using GUI.
● Hands-on experience on VPC, Subnets, and Route tables etc.
● Worked on ca7, Compass Stratus and Tandem(Mr-win360) for Batch Monitoring.
● Hands-on BMC Remedy and CA Service DeskTicketing tool.
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Projects
1 - Deployed Multi-Node Openstack architecture on AWS using EC2, Using 1 controller, 1 neutron and 1 compute node. installed Glance (Image service), Neutron (Networking service), Nova (Compute service), Horizon (Dashboard), Swift (Object Storage Service), Cinder (Block Storage Service).
2 - Reversible Data hiding in encrypted images by image transformation.
We propose a novel approach for steganography using reversible texture synthesis. A texture synthesis process resamples a smaller texture image, which synthesizes a new texture image with a similar local appearance and an arbitrary size. We weave the texture synthesis process into steganography to conceal secret messages. In contrast to using an existing cover image to hide messages, our algorithm conceals the source texture image and embeds secret messages through the process of texture synthesis. This allows us to extract the secret messages and source texture from a stego synthetic texture. Our approach offers three distinct advantages. First, our scheme offers the embedding capacity that is proportional to the size of the stego texture image. Second, a steganalysis algorithm is not likely to defeat our steganographic approach. Third, the reversible capability inherited from our scheme provides functionality, which allows recovery of the source texture. Experimental results have
3- Staff Portrayal.
This windows desktop application is very useful at the time of sudden inspection management can access these details instantly. This system contains all information about staff including a year of experience,
qualification, number of leaves, and pass percentage in respective year of their teaching career and feedback of lectures etc. Developing
Language: C# Database: MY SQL