Balavignesh Kunkulagunta Sanghameswar

Master's Graduate in Cloud Computing with a background of 8 years of total experience in software development and around 4 years of experience as a Cloud and DevOps Engineer specializing in designing, developing and maintaining the AWS cloud infrastructure and creating several environments for different needs development, testing, UAT, production. Proven track record and expertise in CI/CD, IAC, Kubernetes and monitoring. Recognized as Top Talent 2023 in my previous organization. Self-motivated individual with strong communication skills. Familiar with operating in PCI-DSS, ISO 27001, SOC2-aligned environments. Eager to apply academic knowledge and practical skills to contribute as a Cloud and DevOps Engineer, leveraging a strong foundation in cloud technologies and a commitment to continuous learning.

• AWS Certified Solution Architect- Associate.
• Udemy certifications on AWS, GCP, Terraform, Jenkins, Docker, and Microsoft Azure.

Recognized as Top Talent 2023 among 10,000 employees in my previous organization.

Development of Django Web Application in Sports Domain and Deploying in AWS with CI/CD and Static Code Analysis, Built a CRUD based workout tracker with visual charts; deployed via AWS elastic Beanstalk with CI/CD using CodePipeline, CodeBuild, and CodeDeploy. Integrated pylint and SonarCloud for static code analysis. Development of scalable APIs using AWS Lambda and API Gateway to existing web application, Designed and integrated scalable APIs to enhance existing web app functionality using AWS Lambda and API Gateway; included third party API integration. Development of Social Media Marketing DApp using Blockchain, Built a decentralized application using Express.js and Facebook Graph API; deployed on AWS Elastic Beanstalk and Ethereum test networks using smart contracts. Designing a HPC Petascale with IBM Power9 for Correlated Fragmented Molecular Orbital Calculations, Designed a Petascale HPC system and compared it to Terascale architecture using Amdahl’s law and Gustafson’s laws. Calculated MTBF, MTTF, availability and 5-year TCO. Development of a Flask Web Application in Cloth Manufacturing Domain with AWS Services and deploying in AWS with CI/CD, Developed and deployed a flask-based app using AWS DynamoDB, S3, Lambda, API Gateway, and CI/CD via CodePipeline and CodeDeploy. Prediction of Diabetes using ML Algorithm – Logistic Regression with Google Colab, Cleaned, combined and trained three public datasets to predict diabetics outcomes using logistic regression. Evaluated accuracy and model error. Design IOT and Fog Architecture and Simulation – Smart Football Stadium with Biometric, Proximity, Environmental sensors, Simulated IoT and fog architecture for a small football stadium using biometric, proximity and environmental sensors with iFogSim2 Toolkit.

• Playing Video Games.
• Writing.
• Listening to Music.
• Learning something new.