Krishna N

Highly skilled Lead Automation Test Engineer with 8+ years of IT experience, including 7+ years specializing in Python-based test automation. Core expertise spans Selenium (Hybrid, BDD, POM), PyTest, Robot Framework, REST API testing, CI/CD pipeline design (Jenkins, GitLab), and DevOps tooling including Docker, Kubernetes, and AWS. Experienced across Compliance, Manufacturing, Biopharmaceutical, and BFSI (Banking & Financial Services) domains.

Knowledge of Guidewire Auto Insurance, including PolicyCenter, BillingCenter, and ClaimCenter business processes, the auto insurance policy lifecycle, and Guidewire testing concepts. In the current role as Lead Engineer at Aparajitha Software Services Pvt. Ltd. (Sep 2024 – Present), building AI-integrated automation solutions using LangChain, Ollama (self-hosted LLM), Agentic AI multi-agent frameworks, and RAG-based test intelligence systems, representing a recent and growing specialization in GenAI-driven QA.

Strong team leader with hands-on experience in Agile delivery, test planning, code reviews, and mentoring QA engineers.

Lead Engineer - Automation Testing - Aparajitha Software Services Pvt Ltd - Bangalore, Karnataka

(2024-09 - 2026-08)

Aparajitha is India's leading labour compliance services company - providing end-to-end compliance management for Payroll, Factory, Industrial Licensing, and Vendor Compliance across 1,200+ clients.

Project: Simpliance REMO - Labour Compliance Automation Platform (Sep 2024 – Aug 2026).

Framework: Pytest, BDD, POM, AI Assistant, LangChain, LangGraph, AutoGen, Ollama.

Technology: Python, REST API, MySQL, JIRA, CI/CD, Docker, Kubernetes, AWS, Linux.

IDE/Tools: VS Code, JIRA, GitLab.

SDLC: Agile/Scrum.

• Built GenAI-powered automation using LangChain + Ollama (self-hosted LLM) to auto-generate Pytest and BDD test cases from compliance requirements - first AI integration in the team's QA workflow.
• Developed Agentic AI multi-agent pipelines using LangGraph and AutoGen - agents for test preparation, execution, failure analysis, and report generation running as autonomous goal-driven workflows.
• Deployed self-hosted LLM using Ollama on local infrastructure - secure, offline AI processing ensuring sensitive compliance data does not leave internal systems.
• Implemented RAG-based test intelligence: vector database stores compliance rules, historical test cases, and defect patterns; LLM retrieves context to generate accurate, project-specific test scenarios.
• Developed AI-assisted dynamic XPath generation and self-healing element locators - selectors auto-adapt after Angular UI changes, reducing Selenium test breakage between sprint releases.
• Applied AI-based failure categorization to identify root cause patterns from test failure history - reducing manual triage time for recurring defect types.
• Applied prompt engineering (chain-of-thought, few-shot) to optimize LLM output quality for test script generation and automated defect description drafting.
• Led and mentored the QA automation team - assigned tasks, conducted code reviews, and ran knowledge-sharing sessions on Python automation, AI tools, and CI/CD best practices.
• Designed and developed automated test scripts using Pytest, BDD (Behave), and POM Selenium framework covering functional, regression, and sanity testing for the Simpliance REMO platform.
• Configured GitLab CI/CD pipelines for automated test execution on every commit - integrated Pytest and Allure reports for stakeholder-facing dashboards.
• Set up and maintained test environments including AWS cloud-based resources, MySQL databases, and Docker containers; ensured infrastructure readiness across all sprint cycles.
• Identified and tracked defects in JIRA; collaborated with developers for timely resolution; provided root cause analysis for critical compliance module bugs.

Senior Executive - QA (Automation Testing) - Biocon Ltd - Bangalore, Karnataka

(2022-09 - 2023-02)

Biocon is a leading biopharmaceutical company. Bio TechOps platform covered CTMS, LIMS, ERP, Regulatory Compliance, Data Analytics, and Supply Chain Management. Project: Bio TechOps Platform - Biopharmaceutical IT Systems (Sep 2022 – Feb 2023). Framework: Pytest, BDD, POM, Selenium, Robot Framework. Technology: Python, REST API, MySQL, JIRA, CI/CD, Docker, Kubernetes, AWS. IDE/Tools: PyCharm, JIRA, GitHub. SDLC: Agile/Scrum.

• Developed automated test scripts using Python and Pytest/BDD POM framework for the Bio TechOps platform.

Not specified - Essentra

(2015-01 - 2022-12)

Previous role at Essentra (2015–2022) involved core Python automation and Selenium - no AI tools were involved.

Bcom, MBA