
Hello, I'm Ram. A Senior Software Engineer with 10+ years of experience building quality solutions for distributed systems. I specialize in AI-Powered test automation & CI/CD strategies.
About me
 My journey in software engineering began with a simple belief: "great systems start with reliable, scalable solutions". Over the past 10 years, I've evolved from writing test scripts to architecting AI-powered frameworks that serve millions of users across distributed systems.
 At Amazon, I design and lead the development of automation frameworks for Fire TV OS and Global Engineering Services, integrating AI tools like Amazon Q, Kiro AI and Cline to achieve 20% faster defect detection and ensure system reliability. Previously at Visa, I drove quality and automation strategies for enterprise financial applications, delivering zero-defect migrations and reducing regression cycles by 35%.
 My approach combines deep technical expertise in TypeScript, Python, Java, and cloud-native technologies with a Master's degree in Computer Science, specializing in AI and machine learning. I focus on building intelligent systems that anticipate problems, automate processes, and enable teams to deliver with confidence.
 Today, I'm focused on the future of software quality and reliability: leveraging AI and scalable automation to improve system resilience, accelerate CI/CD pipelines, and enhance distributed software delivery.
My skills
- AWS
- API Testing
- Azure DevOps
- BDD/TDD
- CI/CD
- Cline
- Cloud Shepherd
- Cross-Platform Testing
- Cypress
- Docker
- Distributed Systems Testing
- End-to-End Automation
- Framework Design
- Git
- Hydra
- Javascript
- Jenkins
- Java
- JIRA
- Kiro AI
- Kubernetes
- Mobile Testing (Android/iOS)
- Performance Testing
- Playwright
- Python
- React
- Selenium
- SOAP and REST APIs
- SQL
- TestNG
- TypeScript
- UI Testing
My experience
System Development Engineer II
Amazon•Austin, TX
- • Building scalable infrastructure and solutions for cloud-native microservices serving millions of users
- • Leading CI/CD quality pipelines and end-to-end automation across global systems
- • Integrating AI-powered tools (Amazon Q, Kiro AI, Cline) to accelerate development and system reliability.
Quality Assurance Engineer II
Amazon•Austin, TX
- • Built TypeScript/Python automation frameworks reducing regression time by 40%
- • Developed comprehensive testing solutions for entertainment platforms (Luna, FireTV) and distributed systems
- • Created automated testing for web, mobile and TV appliactions with cross platform integration testing
- • Implemented initial AI-powered testing integration (Amazon Q, Kiro AI, Cline)
- • Developed foundational end-to-end automation pipelines for Fire TV OS.
Senior Software Test Engineer
Visa•Austin, TX
- • Led quality engineering for enterprise financial services applications processing payment transactions
- • Spearheaded QA strategy for large-scale CRM migration from Salesforce to Dynamics with zero production defects
- • Built comprehensive CI/CD integration using Azure DevOps and designed automated test suites implementing BDD practices, reducing regression cycle time by 35%.
- • Automated batch processing engine and portal applications to deliver high quality, defect-free releases.
Software Development Engineer in Test II
Change Healthcare (via Innova Solutions)•Nashville, TN
- • Optimized healthcare application testing architecture and led offshore development teams
- • Reduced overall testing time by 30% through Serenity BDD framework implementation
- • Built scalable test frameworks for Java Spring Boot microservices on AWS cloud infrastructure
Application Developer- Graduate Reserach Assistant
University of Southern Mississippi•Hattiesburg, MS
- • Developed innovative mobile and voice applications enhancing university student experience
- • Built Alexa skills using AWS and Node.js, increasing university app engagement by 33%
- • Solved critical navigation issues through campus mapping solutions
Software Development Engineer in Test I
Capgemini•Bengaluru, India
- • Led automation initiatives across multiple client projects (T-Mobile & Thomson Reuters)
- • Reduced test cycle time by 50% through comprehensive web application automation
- • Implemented batch test execution using TestNG and Maven, significantly improving defect identification accuracy
- • Designed reusable Page Object-based frameworks for scalable end-to-end automation.
- •Automated performance testing workflows saving ~8 hours per test cycle through tooling and process improvements.
Test Automation Engineer
Tata Consultancy Services• Chennai, India
- • Delivered enterprise-scale automation solutions for Liberty Mutual insurance applications
- • Achieved $8,000 annual cost savings by implementing Selenium WebDriver framework replacing legacy HP-QTP tools
- • Automated 650+ test scripts, reducing manual testing overhead while accelerating release velocity.
- • Optimized regression suites executing 1,050+ automated tests, reducing failure rates by ~8% through refactoring.
Master's in Computer Science
University of Southern Mississippi•Hattiesburg, MS
- • Specialized in AI and machine learning
- • Enhanced programming skills in Python, Java, and data structures
- • Completed projects on natural language processing and predictive analytics
Bachelor's in Technology
Sastra University•Thanjavur, India
- • Strong foundation in computer science and software engineering principles
- • Solid understanding of algorithms, data structures, and software development methodologies
My projects
AI-Powered Test Automation Framework
Enterprise test automation frameworks integrating AI tools for FireTV OS and Global engineering services testing across multiple AWS regions.
- Typescript
- Python
- AWS
- AI
- Playwright
- Mozart's RPA
Enterprise CRM Testing Suite
Comprehensive testing solutions for salesforce to Dynamics migration with automated BDD test suites.
- C#
- Azure DevOps
- Rest APIs
- Dynamics
- EasyRepro
Cloud-Native Microservices Testing
Scalable test frameworks for Java Spring Boot microservices with CI/CD pipeline integration.
- Java
- Selenium
- Serenity BDD
- AWS
- Jenkins
- Docker
Wine Classification Neural Network
Multilayer neural network for wine variety classification using backpropagation algorithm.
- Java
- Neuroph Framework
- Data Analytics
- Machine Learning
Smart Online Exam System
Full-stack web application for automated test scheduling and grading with performance analytics.
- JavaScript
- Ajax
- Bootstrap
- MySQL
- HTML5
- JSP
Contact me
Please contact me directly at my Email or through this form.




