I am a passionate Computer Science and Engineering student at Jaypee University of Engineering and Technology, with a keen interest in cloud computing, technical content writing, and research and development in computer vision and deep learning.

• Conducted SEO analysis with AWS Cloud tools, enhancing visibility.
• Demonstrated expertise in AWS CloudWatch, S3, and SEO best practices.
• Performed in-depth content analysis using tools like SEMrush, Uber Suggest, & Google Analytics to identify areas for enhancement.

• Conducted suggestions from market analysis, Data compilation for clarity & Enhancing data quality.
• Authored comprehensive content modules on DevOps principles, infrastructure automation, and AWS toolkits.
• Designed hands-on labs focusing on CI/CD pipelines, serverless computing, and deployment strategies.
• Developed guides for automated testing, security automation, and configuration management.

• Improved model accuracy by 80%.
• Proficient in AI, deep learning, Google Collab/Kaggle.
• Leveraged cloud-based solutions for AI, integrating services like Amazon Sage Maker and Google Collab for ML projects.

• Completed a major in Computer Science and Engineering.
• Studied subjects such as Computer Systems, Operating Systems, Database, SDLC, Digital Marketing, SEO, AWS, GCP, etc.

• Overview: Automated release pipelines in AWS CodePipeline.
• Key Learning: Understanding release pipeline architecture, troubleshooting, adjusting configurations, manual approvals.
• Technologies: AWS CloudFormation, AWS CodePipeline, AWS CodeBuild, AWS CodeCommit, AWS Cloud9, AWS X-Ray.

• Developed a deep learning model to identify fresh and rotten fruits using CNN and Max pooling, Average pooling, and MobileNetV2 architecture.

• Build an NLP solution with Azure AI-Language
• Build an Azure AI Vision solution
• Create an intelligent document processing solution with Azure AI Document Intelligence
• Cloud Engineering
• Perform Foundational Infrastructure Tasks in Google Cloud