Pravin Patke

Experienced Principal SDET Engineer with 9.4+ years of expertise in designing and automating scalable software, implementing robust CI/CD pipelines, and leading high-performing engineering teams. A proven track record of delivering high-quality, resilient testing solutions across Linux, web-based applications, storage, cloud, AI/ML, multimedia, and embedded domains. Advanced proficiency in Python, Pytest, Selenium, Playwright, Kubernetes, Terraform, AWS, Ansible, and Infrastructure as Code (IaC).

Executed LLM-based test case generation using ChatGPT and Claude to improve test coverage and identify edge-case scenarios. Designed prompt engineering strategies to generate optimized automation scripts and validate complex workflows. Built AI-driven defect prediction models using historical test data to proactively identify high-risk areas.

Developed AI-assisted self-healing automation frameworks to dynamically handle locator changes and reduce script failures.

Project Lead – QA (Freelance) at PRP Softwares (2023-12 – 2025-07)

• Conducted functional testing of web-based applications using Selenium.
• Wrote Automation scripts for Generative AI and Agentic AI applications using Python and Pytest.
• Improved automation scripts for LLM models using Python libraries.
• Directed a cross-functional team of 9 engineers to deliver robust end-to-end test automation, CI/CD pipelines, and cloud infrastructure.
• Implemented concurrent execution solutions using Go, Python, and C++.
• Applied ML concepts (supervised/unsupervised learning, NLP) to analyze defect patterns and improves test strategies.
• Integrated LLM pipelines and AI agents for test data generation, validation, and reporting

QA Lead at Quick Heal Technoloies (2023-04 – 2023-07)

• Guided a team of 7 members In the design and development of an end-to-end desktop application automation framework for Quick Heal's security suite.
• Automated critical functional, regression and smoke tests for desktop application using Playwright and Selenium with Python and Pytest and improving test efficiency and coverage.
• Created and integrated UI automation scripts with Jenkins CI/CD pipelines, enabling scheduled execution and immediate reporting of results.
• Applied ML concepts (supervised/unsupervised learning, NLP) to analyze defect patterns and improve test strategies.
• Leveraged AI tools (OpenAI API and Vertex AI) for intelligent test execution and optimization.

Principal SDET Engineer at Persistent Systems (2022-10 – 2023-03)

• Improved and maintained Ansible playbooks for automating deployment, configuration, and performance benchmarking of MySQL, SQL and Hadoop data platforms.
• Integrated AI-driven automation pipelines into CI/CD (Jenkins/GitHub Actions) for continuous intelligent testing
• Enabled parallel and distributed test execution using Kubernetes/Docker improving execution efficiency
• Built end-to-end AI-driven testing workflows combining UI (Playwright, Selenium), API, and database validation.
• Systematized test case prioritization using AI models, reducing regression cycle time.
• Developed a UI automation framework in Selenium and Playwright with Python.
• Evaluated storage architectures and ETL pipelines, improving data reliability by 30% and maintaining 99.9% system availability.
• Collaborated with cross-functional teams to resolve 15+ performance bottlenecks, reducing response times by 25%.
• Defined enterprise-level AI-driven QA strategy, aligning testing with DevOps and business goals.
• Established framework standards, reusable components, and governance models for scalable automation.

Principal software Development Engineer in Test Engineer at Calsoft Inc. (2022-02 – 2022-10)

• Mentored a team of 7 engineers, driving test planning, test case design, and end-to-end automation for new features and platform enhancements.
• Stabilized the automation framework using Python, Shell, Pytest, and Ansible, integrating it with Jenkins for continuous testing and deployment.
• Performed REST API testing using Python Requests and Locust.
• Containerized test and staging environments using Docker and orchestrated them with Kubernetes, improving scalability and reproducibility.
• Used the Page Object Model (POM) framework with Selenium and Playwright.
• Automated web-based UI functionality using Selenium and Playwright using Python and Pytest.

Senior software Test Engineer, Scrum Master at Veritas Technologies (2018-01 – 2022-02)

• Wrote Shell and Python scripts for validation of storage component functionality.
• Wrote CI/CD pipelines for comprehensive upgrade and regression testing on multiple operating systems including Solaris, Linux, AIX, and SUSE Linux.
• Validated complex storage stacks — including file systems, disk groups, VERITAS Volume Manager, VCS, CVM, Cluster File System, and VERITAS Volume Replicator (VVR) — across versions 5.x, 6.x, and 7.x.
• Performed scale-in and scale-out storage testing using add-node and delete-node functionality.
• Wrote automation scripts for file and volume replication workflows for disaster recovery, ensuring backup and recovery readiness in critical failure scenarios.
• Improved test coverage by 40–60% using AI-assisted automation
• Reduced regression execution time by 50–70% through intelligent test prioritization
• Created and configured AWS cloud environments including VPCs, Transit Gateway, Internet Gateway, and Load Balancers provisioned and configured cloud infrastructure on AWS using Ansible and Terraform, adhering to Infrastructure as Code (IaC) principles.
• Enhanced UI automation scripts using Selenium, Playwright with Python and Pytest, increasing test automation coverage by 40% and reducing regression testing time by 50%.
• Developed build automation tests for storage products using C++ and CMake files.
• Wrote complex MySQL queries.

software Test Engineer at Yagna Inc (2015-04 – 2016-06)

• Developed Kyword Driven Automation framework for CISCO and Vmware product CPQ renewals
• Created Test Plan, Test Cases for features using Wire-frames provided from product teams.
• End to End automation and manual testing of Yagna products across the different platforms.

M.Tech in Software Systems – BITS Pilani, Pilani (2020)

Post Graduate Diploma in Advanced Computing – CDAC Acts, Pune, Maharashtra (2015)

B.Tech in Electrical, Electronics, and Communications Engineering – SGGSIET, Nanded, Maharashtra, India (2013)