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padmarajnidagundi/README.md

πŸ‘‹ Hi, I'm Padmaraj Nidagundi

AI Agent Orchestration | 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.

πŸš€ Current Focus

  • Actively started learning Quantum programming
  • 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

πŸ› οΈ Skills & Expertise

πŸ€– AI Agent Orchestration, Automation & Future Tech

  • AI-Driven Testing & QA: Experience

  • AI-first QA Architect / Principal SDET specialising in - transforming traditional testing into intelligent, scalable, and autonomous AI-driven quality ecosystems. Expert in aligning QA strategy with business goals, leveraging GenAI, agentic workflows, and modern TestOps to improve efficiency, coverage, and delivery speed significantly.

Core Skills

  • AI-driven QA, Agentic workflows, GenAI integration
  • Automation frameworks (Playwright, Selenium, Cypress, APIs)
  • TestOps & CI/CD, Docker, DevSecOps practices
  • UI, API, performance, security, accessibility testing
  • Agile leadership, mentoring, and autonomous team enablement

AI Expertise

  • AI/ML & LLM testing (accuracy, bias, robustness)

  • AI agents for test generation, execution, and documentation

  • RAG, vector databases, MCP-based architectures

  • AI Tools & Platforms

    • Copilot, Gemini CLI, and AI Agent Orchestration productivity ecosystems
    • OpenAI APIs, LangChain, AutoGen, CrewAI

πŸ§ͺ QA & Automation Engineering

  • 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, DevSecOps & Infrastructure

  • 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

πŸ” Cybersecurity & AI Security

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

🧠 Data & Engineering

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

πŸ—οΈ Engineering & Testing Practices

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

πŸ’Ό Professional Experience

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

🀝 Let's Collaborate

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

πŸ“§ Contact: padmaraj.nidagundi at gmail.com

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