Avyay Yennamaneni

● Engineered high-performance, scalable services using Python and AWS Cloud Development Kit (CDK), optimizing data processing algorithms and enhancing resource utilization to bolster AWS’s threat detection capabilities.

● Architected and implemented complex data processing systems integrating multiple AWS technologies, focusing on real-time data handling and ETL processes.

● Spearheaded the development of analytics systems that significantly increased the security of AWS infrastructure through proactive risk identification and mitigation.

● Managed CI/CD pipelines across multiple regions, ensuring seamless deployments and maintaining high availability and fault tolerance for critical systems.

● Collaborated with security engineers to refine risk metrics and optimize detection systems, improving the accuracy of threat assessments.

● Maintained existing services by handling on-call duties and responding to customer requests, ensuring continuous operational excellence and service reliability.

● Architected and implemented a complex data processing system that integrates multiple AWS Kinesis streams with AWS Lambda for real-time data handling, significantly accelerating the response capabilities of security engineers.

● Automated the aggregation and processing of data from S3 input buckets using AWS Glue on a CRON schedule, enhancing the timeliness and accuracy of data available for security investigations

• Fabricated and managed fully automated pipelines for deploying applications using Azure DevOps and Docker.
• Integrated the frameworks with CICD Pipeline (Jenkins) and Influx database to view the results in Grafana Dashboard.
• Facilitated the automation framework using Selenium tool with Java.
• Performed User Acceptance Testing (UAT) by creating test cases, test plans, and tools to capture test results.
• Worked with a Quality Assurance Team to make the code and processes efficient.
• Gained experience in source control management using Git, and managing the source code using scripts.

• Created rest API endpoints, enabling platforms and users to integrate with the cloud database.
• Contributed to the release process and performed regression testing.
• Developed automation scripts using Selenium framework to find the quality of the product.
• Reviewed system enhancement in production environments.
• Collaborated with the Quality Control Department to provide engineering support.

• Worked on building various projects which involved regression and prediction techniques, cancer prediction model dataset which was obtained from Kaggle with accuracy rate of 78%.
• Built a Naive Bayes model for Boston Housing price prediction model which achieved an accuracy of 79% and classified the areas into different classes.
• Designed a project “Sentimental analysis of movie reviews” which divided the reviews into a positive or negative based on the keywords and root words.