Padmaraj Nidagundi

Experience
I am a results-oriented AI-driven software testing professional with strong leadership and project management expertise. I specialize in delivering high-quality outcomes by aligning testing strategy with business goals, driving efficiency, and proactively resolving issues. Skilled in functional and non-functional testing (API, UI, performance, security) with hands-on experience in automation frameworks and scripting (Java, C#, Python, JavaScript). Proficient in test design, SQL/NoSQL databases, cloud platforms (Azure, AWS, GCP), and DevSecOps practices, including Docker and CI/CD pipelines. Strong communicator with proven success in agile teams, UAT, and cross-functional collaboration.

QA Skills
• AI QA & Model Testing – ensuring AI chat application performance, accuracy, bias, and robustness.
• Automation – scalable frameworks using Selenium, Cypress, Playwright, TestNG, and RESTful APIs.
• Agile methodologies, reverse engineering, problem solving, and mentoring.
• Hands-on experience with performance, security, and accessibility testing.

AI-Specific Skills
• AI QA – testing AI/ML systems for robustness, transparency, and accuracy.
• AI-driven automation – QA agent creation, test case creation, documentation, and integration.
• AI Tools – GitHub Copilot, Tongyi Lingma, Google Gemini CLI, Google Jules.
• AI agent creation for team productivity.
• Hands-on AI QA Expertise On – Agentic AI, Large Reasoning Models (LRM), Vector Databases, RAG (Retrieval Augmented Generation), MCP (Model Context Protocol), MoE (Mixture of Experts), ASI (Artificial Super Intelligence).

Career Highlights

Designed and implemented a UI test automation framework, integrating an end-to-end suite that reduced regression issues by 70%.
Hands-on experience in non-functional testing including performance, security, accessibility, and agile release management.
Reduced service desk and 3rd line support calls using ITIL practices.
Led AI/ML testing initiatives, ensuring ethical and efficient system performance.
Successfully managed a 13-member QA and IT support team, handling KPIs, MVPs, stakeholder communications, and budget planning.
Championed adoption of AI-first practices in testing, boosting quality and efficiency across global teams.