Ram Pullabhotla portrait
👋

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

My experience

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.