SDET specializing in automation-first quality engineering, with hands-on experience in Playwright (JavaScript/TypeScript), API validation, and framework design. I focus on creating resilient, low-maintenance test suites, eliminating flaky tests, and integrating automation into CI/CD pipelines. Passionate about shifting quality left, accelerating releases, and ensuring consistent, user-focused product performance.
Learn more about my journey, passion for technology, and career goals
My Journey
I started my career in QA as an intern and quickly grew into a core contributor owning end-to-end quality initiatives at Keka HR. Over time, I’ve shifted towards an automation-first approach, focusing on building reliable and scalable test coverage.
I collaborate closely with product and engineering teams to validate complex workflows, design effective test strategies, and ensure high release confidence. My experience includes feature ownership, production issue triage, regression cycles, and API validation.
With hands-on experience in Playwright (JavaScript/TypeScript), I focus on reducing manual effort, improving test reliability, and embedding quality across the development lifecycle. I actively leverage AI-powered tools like Cursor to accelerate test development, optimize debugging, and enhance overall productivity.
Key Achievements
Projects Delivered15+
Years of Experience4+
Team Members Mentored4
Production Issues Resolved500+
Automation & AI Tools Mastered10+
Career Goals
I aim to grow as an SDET by building scalable automation frameworks and strengthening quality engineering practices across the development lifecycle. My focus is on increasing automation coverage, improving test stability, and integrating testing into CI/CD workflows.
I’m also focused on leveraging AI-driven tools and workflows to enhance productivity, accelerate development cycles, and build smarter testing solutions.
Long-term, I aspire to lead quality initiatives, mentor engineers, and ensure that quality is built into products from the ground up.
What I Love
Building reliable, user-focused applications
Writing scalable and maintainable automation (Playwright)
Leveraging AI tools to improve development and testing efficiency
Collaborating with cross-functional teams
Solving real-world quality challenges
Ensuring stable, high-quality user experiences
Staying hands-on, curious, and detail-driven
Professional Journey
Work Experience
My professional journey and key contributions
Software Engineer – QA
Keka HR
Aug 2024 – Present
Hyderabad, India
As a QA Engineer, I own end-to-end quality for web and mobile features, ensuring reliable and high-confidence releases.
I work closely with product and engineering teams to design test strategies, validate complex workflows, and proactively identify high-risk areas early in the development cycle.
I have evolved towards an automation-driven approach, leveraging Playwright (JavaScript/TypeScript) and API testing to improve test coverage and reduce manual effort.
I also actively use AI-powered tools like Cursor to accelerate test development, optimize debugging, and enhance overall productivity.
Beyond execution, I contribute to process improvements, mentor team members, and handle production issue triage using logs and telemetry to ensure faster resolution and minimal user impact.
Key Achievements:
Designed and maintained 1500+ test cases, improving coverage and early defect detection.
Delivered consistent 100% P0/P1 defect-free releases through focused regression and impact analysis.
Resolved 100+ production issues, reducing turnaround time by 30% using log analysis and debugging.
Improved testing efficiency by leveraging AI tools for faster test creation and issue analysis.
Mentored junior engineers and streamlined QA processes for faster and more reliable release cycles.
Started as a QA intern and quickly grew into a core team contributor, working on manual and API testing across multiple HRMS modules.
Focused on executing structured test cases, validating UI/API workflows, and ensuring stability across releases.
Gained strong experience in regression testing, bug tracking using Azure DevOps, and understanding end-to-end product workflows including Payroll, Attendance, and Leave systems.
I also began adopting AI-assisted tools to improve productivity in test case creation, debugging, and documentation, enabling faster turnaround and better efficiency in daily QA activities.
Key Achievements:
Supported 20+ stable releases through consistent regression testing and defect validation.
Improved onboarding documentation, reducing ramp-up time for new team members by 25%.
Built strong domain expertise in Payroll, Attendance, and Leave workflows.
Increased efficiency in test execution and documentation using AI-assisted workflows.
Technologies Used:
PostmanAzure DevOpsSQLMicrosoft ExcelCursor (AI)
My Work
Featured Projects
A showcase of my recent testing projects and core quality initiatives
Featured Project
Multi-Shift Attendance & Clock-In System
Led end-to-end validation of a complex multi-shift attendance system supporting multiple shifts per day, shift selection logic, and timezone-based scenarios. Tested edge cases like overlapping logs, shift buffers, and invalid clock-ins.
Built and executed structured test scenarios across UI and API layers, ensuring accurate shift mapping and reliable attendance tracking under different configurations.
Validated business-critical logic for attendance penalization based on partial leaves (half-day, hourly) and weekly offs. Ensured correct penalty calculations without impacting other modules like late arrival or work hour tracking.
Designed deep test coverage for edge cases, overlapping conditions, and policy-driven scenarios, improving release confidence for payroll-impacting features.
API ValidationBusiness Logic TestingRegression TestingSQLEdge Case TestingPolicy Validation
Owned testing of attendance regularization workflows supporting multiple shifts per day, including admin-configured limits (daily, monthly, yearly) and backdated restrictions.
Validated UI behavior, API responses, and error handling for overlapping requests, shift boundaries, and approval workflows. Focused on ensuring data consistency across attendance records.
AI-Assisted Test Optimization & Debugging Workflow
Integrated AI tools like Cursor into daily QA workflows to accelerate test case creation, improve debugging efficiency, and reduce manual effort in repetitive validation tasks.
Used AI-assisted approaches to analyze failures, refine test scenarios, and enhance overall testing productivity in fast-paced release cycles.
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