AI Driven Software Testing Professional | Test Automation | Team Leader | Shift-left | Engineering Manager

Passionate about leveraging AI and automation to revolutionize software testing. Experienced in delivering high-quality software through strategic testing, leadership, and innovative technologies.

• Building JavaScript, TypeScript, Java, and Python AI driven test automation projects
• Advancing skills in AI-driven testing methodologies
• Exploring AI projects, LLM systems, MCP servers, software engineering, quantum computing, and next gen software testing
• Designing and testing AI agents, chatbots, and autonomous systems

• AI-Driven Testing & QA:

  • LLM Chatbot Testing with PromptFoo, Agenta (Accuracy, Hallucination, Bias, Security, Prompt Robustness)
  • AI Model Validation, Explainability & Trustworthiness
  • Agentic AI Testing (Autonomous workflows, decision validation, safety)
  • AI Agent Creation for productivity automation
  • RAG, Vector Databases, MCP Servers, MoE, LRM, ASI

• AI Tools & Platforms

  • GitHub Copilot, Tongyi Lingma, Google Gemini CLI, Google Jules
  • OpenAI APIs, LangChain, AutoGen, CrewAI

• Automation Frameworks: Selenium, Cypress, Playwright, TestNG
• Performance Testing: k6, JMeter, Gatling
• Cloud Load Testing: AWS Load Testing, Azure Load Testing
• Observability: Grafana
• Security Testing / Red Teaming : OWASP ZAP, Burp Suite, SonarQube
• API Security: Postman Security
• API & Backend Testing: RESTful APIs, GraphQL, Microservices
• Test Automation: JavaScript, TypeScript, Java, Python
• AI-Driven Automation: Test generation, self-healing tests, autonomous regression
• LLM & AI System Testing: Chatbot validation, prompt testing, load & security testing

• Cloud Computing: AWS & Azure (Cloud testing, automation, monitoring)
• DevSecOps: Docker, CI/CD Pipelines, GitHub Actions, Azure DevOps
• MCP Servers: AI tool orchestration & model context management
• Cloud Test Automation: Scalable test execution, AI model validation pipelines

• Cybersecurity Testing (Especially AI & Cloud Systems)
• AI Prompt Injection & Jailbreak Testing
• Data Privacy, Model Security & AI Threat Modeling
• Cloud Security Testing (IAM, Network, API security)

• SQL & NoSQL Databases
• Data Validation & ETL Testing
• Performance, Load & Reliability Engineering
• Reverse Engineering & System Observability

• Functional & Non-Functional Testing (API, UI, Performance, Security, Accessibility)
• Agile & DevOps Methodologies
• ITIL Practices & Release Management
• Cloud-Native & Microservices Testing
• AI System Governance & Compliance

Results-oriented professional with strong leadership and project management expertise. Specialize in aligning testing strategy with business goals, driving efficiency, and resolving issues proactively.

• Team Leadership: Managed 13-member QA and IT support teams, handling KPIs, MVPs, stakeholder communications, and budget planning

• Automation Achievements: Designed UI test automation framework reducing regression issues by 70%

• AI Initiatives: Led AI/ML testing ensuring ethical, secure, and efficient system performance

• Efficiency Gains: Reduced service desk and 3rd line support calls using ITIL practices

• Innovation: Championed AI-first practices in testing, boosting quality and efficiency across global teams

I'm looking to collaborate on AI-driven software testing, LLM systems, and automation engineering projects. Open to opportunities in:

• Automation Architect
• AI QA Engineer
• LLM & Chatbot Testing Engineer
• SDET (AI & Cloud)
• Test Engineering Lead

📧 Contact: padmaraj.nidagundi at gmail.com