From Script-Heavy To AI-Driven How Sarvesh Peddi Is Advancing Test Automation For Software Enterprises

In an era when software delivery cycles are compressing from months to days, Sarvesh Peddi is contributing to changes in how enterprises approach quality engineering. With over a decade of experience in test automation architecture, Peddi has transitioned from classical, script-heavy methods to a cutting-edge AI-driven paradigm—supporting faster, more reliable releases for global organizations. His journey, which spans leadership roles at Charter Communications and Concentrix Catalyst, reflects involvement in innovation, mentorship, and leadership in a field central to digital transformation.

A Foundation Built on Rigor and Scale

Peddi’s early career included his role as a Test Automation Architect at Charter Communications, where he led efforts to implement Tricentis Tosca and Selenium-based frameworks. By integrating AWS and Azure DevOps pipelines, he reduced regression testing times by over 60%, ensuring that critical cable-and-broadband services could roll out updates with minimal downtime. His work in test data management and risk-based testing served as a reference for quality engineering teams across the organization.

Advancing AI-Driven Quality Engineering

In his current capacity as Test Automation Architect at Charter Communications, Peddi leverages AI to automate the execution of tests, and their very creation. He has supported the use of generative AI engines that analyze application changes, predict defect-prone areas, and autonomously generate new test cases—contributing a shift from reactive to proactive quality assurance. His work in Responsible AI ensures that test-automation algorithms remain transparent and bias-free; a necessity as enterprises increasingly relies on AI in mission-critical environments.

Leadership on the Global Stage

Peddi’s insights have been shared beyond his immediate teams. At the 2025 International Conference on Computer Science and Information Technology (ICCSIT), he presented his research on “Test Automation in Cloud-Native Ecosystems,” highlighting how serverless execution models and ML-powered flakiness detection influence reliability in containerized architectures. The paper underscored cost-optimization strategies that can deliver ROI in large-scale cloud deployments—vital intelligence for organizations racing to the cloud.

Sharing Knowledge through Publication

Focused on expanding access to quality engineering, Peddi contributes to leading publications. His recent DZone article, “Design Patterns for Scalable Test Automation Frameworks,” demystifies the use of Factory, Strategy, and Dependency Injection patterns to combat brittle test suites. By weaving real-world case studies with code examples, he supports QA architects and SDETs in building automation layers that evolve with their applications.

Mentorship: Fueling the Next Generation

Beyond his corporate impact, Peddi has been involved in mentoring emerging professionals. Throughout his career, he has guided 25 individuals in Test Automation, DevOps QA, and AI-powered testing strategies. His mentees mention his learning roadmaps and hands-on workshops as helpful in their career development—from manual testing to architecting AI-driven frameworks. For Peddi, mentorship is a two-way street that hones his leadership instincts and deepens his empathy for diverse learning styles.

Recognition and Community Engagement

Peddi's work has received recognition. He was featured in The CXO Time’s “Beyond the Code: A Futurist's Take on Test Automation, AI, and Impact,” where he articulated how AI can elevate software reliability to unprecedented levels. Additionally, he recently received the International Achievers Award for Quality Excellence (2024–25) and is in contention for the prestigious Titan Awards—reflections of his contributions to the global QA community.

Looking Ahead: A Book and Beyond

In parallel with his corporate and academic contributions, Peddi is authoring a comprehensive guide—Automation Testing Architecture with AI using Tosca Test Suite—slated for release on Amazon Kindle later this year. This work aims to bring together his two decades of experience, providing practitioners a step-by-step blueprint for embedding AI into every layer of their automation pipelines. As the industry braces for AI-first development cycles, his book will serve as both a primer and an advanced manual for quality engineers worldwide.

The Road Ahead

As enterprises grapple with the twin demands of speed and reliability, Sarvesh Peddi’s AI-driven approach to test automation provides a compelling blueprint. By coupling architectural principles with the power of generative AI, he is contributing to the shift in Quality Engineering from a gatekeeping role to one that supports innovation and continuous delivery at scale. For software leaders seeking to elevate their testing strategies, his journey highlightes a simple truth: embracing AI involves more than test automation—it includes building confidence into each release.

In a digital landscape where time-to-market can define market leadership, Peddi’s approach focuses on enabling teams with automation that can anticipate, adapt, and support faster delivery. And as he continues to publish, speak, and mentor, the software industry may benefit from his technical work and also from the discussions he contributes to about the future of quality.