Abhay Ajay Batta
Morgan Stanley
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WORK HISTORY
@Morgan Stanley
EDUCATION
Rashtrasant Tukadoji Maharaj Nagpur University, Nagpur
Bachelor's Degree
Jankidevi Bajaj Science College
Pre-University
Gandhi city public school
Secondary education
ABOUT ABHAY AJAY BATTA
I am an SDET Lead with 10+ years of experience building scalable automation frameworks and driving high-quality software delivery across web, mobile, desktop, and AI-driven applications. My expertise spans Java, Python, Selenium, Cypress, Appium, and CI/CD pipelines (Jenkins, Docker, Kubernetes, AWS), with a proven track record of leading teams and delivering automation solutions that accelerate defect detection and reduce release cycles. I’ve had the opportunity to lead QA transformation initiatives for Fortune 500 clients in the finance, transportation, and retail domains, including Morgan Stanley, Canadian National Railways, and Walmart. My recent focus has been on GenAI-powered QA workflows, where I designed validation strategies for AI-based code translation and prompt engineering, cutting manual review cycles by 50% and improving automation coverage significantly. Beyond frameworks and tools, I thrive in mentoring teams, defining automation roadmaps, and ensuring alignment between QA strategy and business outcomes. Whether it’s implementing cloud-native test environments, enabling parallel execution at scale, or designing end-to-end CI/CD pipelines, my goal is always the same: to build reliable, future-ready automation ecosystems. Core Strengths: • Scalable Automation Frameworks (Selenium, Cypress, Appium, UFT) • UI, API, and GenAI Test Automation • CI/CD with Jenkins, GitHub Actions, Docker, Kubernetes, AWS • Agile QA Leadership & Mentorship • Prompt Engineering & AI-driven QA acceleration Certified in DevOps, Python, Agile, and Selenium, and recognized with multiple awards for automation excellence, I bring both technical depth and leadership maturity to every engagement. Let’s connect if you’re looking to discuss SDET leadership, GenAI in QA, or building resilient automation frameworks.
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