Senior Lead SDET | Playwright & API Automation | Test Architecture

I make cloud-native delivery safer, faster, and more predictable.

I lead quality strategy for distributed systems and build Playwright and API automation with TypeScript, JavaScript, and Java. My work connects test architecture, Jenkins quality gates, performance engineering, and AI-assisted failure analysis to help teams ship with confidence.

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Impact Snapshot

Outcome-first quality engineering.

I measure quality by faster feedback, resilient releases, lower validation cost, and engineering systems that stay dependable as products become more complex.

12+ years in quality engineering and test architecture
75% platform hardware requirement reduction through concurrent validation
83% API regression runtime reduction, from approximately two hours to 20 minutes
25% reduction in production defect leakage through early quality involvement
35% increase in critical-service automation coverage through API, contract, mock-based, and negative-path testing
40% AWS and ephemeral environment cost reduction

Quality Operating Model

Quality built into the engineering system.

I bring quality upstream, validate the service boundaries that matter, and use production signals to keep delivery decisions grounded in evidence.

Early risk discovery Testability from the start

PRD, system-design, API-contract, solution, and code reviews surface dependency, concurrency, and observability risks before they become release issues.

Service-level confidence Deterministic system validation

Unit, component, API, contract, mock, and negative-path testing create reliable feedback across microservice boundaries.

Regression architecture Fast, trusted feedback loops

Playwright-native sharding and parallel execution across Jenkins agents distribute test workloads, while automated quality gates protect critical PO workflows before staging.

Performance resilience Confidence at peak load

Load, stress, endurance, and scalability testing expose bottlenecks early and connect SLAs to realistic service behavior.

Production readiness Signals that guide release decisions

Observability, incident learning, dependency health, and release-risk governance make quality an engineering-wide responsibility.

AI-assisted quality Practical productivity, guarded by engineering rigor

Slack-based agentic AI workflows analyze Playwright execution reports and classify application defects, automation issues, and environment instability to accelerate root-cause triage.

Expertise

Where I create leverage.

I work across leadership and hands-on engineering: from system design and service validation to performance resilience and AI-assisted delivery.

Quality & SDET Leadership

Technical direction, mentoring, hiring, performance calibration, stakeholder alignment, and quality practices that make delivery predictable across teams.

Playwright & Test Architecture

Playwright E2E automation, Java API testing, unit and contract validation, mock-driven workflows, Jenkins quality gates, native sharding, and parallel execution.

Distributed Systems & Performance

Backend quality for microservices, REST, gRPC, GraphQL, Kafka, event-driven flows, cloud-native services, observability, load testing, stress testing, and SLA optimization.

AI-Assisted Quality

Automated failure analysis, Slack-based agentic workflows, Playwright report analysis, failure classification, and root-cause triage to reduce mean time to resolve.

Technical Toolkit

Languages & APIs

TypeScript, JavaScript, Node.js, Java, Python, Shell, C, C++, REST, gRPC, GraphQL, Protocol Buffers

Automation & Quality

Playwright, Selenium, Appium, TestNG, Cucumber, Mocha/Chai, REST Assured, Mockito, WireMock, Gripmock, JMeter; API, UI, unit, component, contract, and performance testing

Playwright Ecosystem

E2E automation, native sharding, parallel execution, HTML reports, traces, screenshots, video artifacts, Allure Playwright, Faker, AJV, Axios, ESLint, Dotenv

CI/CD & Build Tools

Jenkins, CircleCI, GitHub Actions, regression quality gates, Maven, Gradle, Git, NPM, NVM

Platforms

AWS, Docker, Kubernetes, Elasticsearch, Kafka, SQS, Lambda, ECS, EKS, RDS, DynamoDB, CloudFormation, S3, VPC, ELB, Nginx, HAProxy

GenAI

Claude Code, Codex, GitHub Copilot, MCP, n8n, Cursor, CodeRabbit, AI-assisted testing, agentic AI, Slack-based failure triage

Performance & Observability

JMeter, load and stress testing, distributed systems, observability metrics, Kibana, Prometheus alerts, SLA reporting and optimization, release quality metrics and KPIs

Experience

Leadership across product engineering environments.

From automation foundations to technical leadership for distributed systems, I build quality practices that reduce delivery risk without slowing engineering teams down.

Swiggy Instamart Private Limited

Senior Lead - SDET

Nov 2021 - Present | Bengaluru, Karnataka
  • Owned quality and test architecture for the Driver Ecosystem and Instamart B2B distributed systems, covering system design, automation strategy, service-level validation, testability, regression architecture, production readiness, and release-risk governance.
  • Led PRD, system-design, Figma-design, API-contract, PR, and solution reviews across engineering teams, identifying failure scenarios, concurrency, dependency, and observability risks early.
  • Integrated Playwright E2E automation into Jenkins pipelines, establishing automated regression quality gates to prevent critical PO workflow regressions from progressing to staging.
  • Implemented Playwright-native sharding and parallel execution across Jenkins agents, optimizing test distribution and reducing overall regression execution time.
  • Enabled Playwright HTML reports, traces, screenshots, and video artifacts for failed Jenkins CI runs to accelerate failure investigation.
  • Integrated Slack-based agentic AI workflows to analyze Playwright execution reports and classify failures into application defects, automation issues, and environment instability, enabling faster root-cause triage and reducing mean time to resolve (MTTR).
  • Reduced API regression runtime from approximately two hours to 20 minutes through concurrency and framework optimization, cutting infrastructure and ephemeral-environment costs by approximately 40%.
  • Improved backend service quality and test coverage by establishing unit, component, and API testing using TestNG, Mockito, WireMock, Gripmock, and REST Assured, with reliable dependency isolation and validation.
  • Reduced ephemeral-environment platform costs by approximately 75% through concurrent validation of date/time and race-condition scenarios, contributing to zero major on-call incidents during peak events for two consecutive years.
  • Provided technical direction and mentorship to SDE and SDET engineers while managing the SDET group and contributing to critical debugging, architecture decisions, hiring, and performance calibration.
  • Managed SDET team operations and people-management responsibilities for approximately three years, covering team development, performance calibration, hiring, mentoring, and technical growth.
  • Reduced production defect leakage by approximately 25% through early quality involvement in PRD, design, API-contract, and solution reviews.
  • Increased automation coverage by approximately 35% across critical services through API, contract, mock-based, and negative-path validation through shift-left testing.
  • Improved test engineering productivity by approximately 30% through reusable automation components, standardized validation, and framework optimization in backend and Playwright suites.

Samsung Electronics India Private Limited

Senior SDET

Jul 2018 - Nov 2021 | Chennai, Tamil Nadu
  • Led JMeter performance testing for flagship launches, identifying critical bottlenecks and improving peak-load stability by approximately 25% while reducing performance regressions by approximately 30%.
  • Designed a tenant-agnostic Java API integration framework and reusable Node.js mock services, accelerating cross-tenant validation by approximately 35%.
  • Reduced API integration-test duplication by approximately 40% across global tenants through reusable Java test components and standardized Node.js test services.
  • Partnered with engineering teams to define performance SLAs, analyze throughput, latency, and error trends, and drive fixes that improved peak-load resilience by approximately 25%.
  • Demonstrated advanced hands-on JMeter expertise across load, stress, endurance, and scalability testing, designing realistic workload models and identifying performance bottlenecks before production releases.
  • Strengthened Order and Fulfilment service quality by implementing white-box contract testing with Node.js, Mocha, and Chai and expanding unit-test coverage, driving an approximately 35% improvement in overall test coverage and early defect detection.

Softcrylic Technology Solutions India Pvt. Ltd.

Senior Test Automation Engineer

Dec 2016 - Jul 2018 | Chennai, Tamil Nadu
  • Built and maintained Selenium-based UI automation for critical business workflows using Selenium and Cucumber, improving regression coverage and release confidence.
  • Developed reusable utilities, modular page components, and standardized step libraries, reducing automation maintenance effort by approximately 30%.
  • Improved test reliability and repeatability through structured test-data management and environment configuration, reducing execution issues by approximately 25%.
  • Accelerated automation onboarding by approximately 25% through reusable framework components, consistent coding patterns, and simplified test setup.

Cognizant Technology Solutions India Pvt. Ltd.

Programmer

Jul 2014 - Dec 2016 | Chennai, Tamil Nadu
  • Built and maintained Selenium WebDriver-Java automation for critical client workflows, strengthening regression coverage and release validation for US stakeholders.
  • Developed hands-on expertise in Selenium WebDriver, TestNG, and Selenium Grid, implementing reusable automation components, data-driven testing, and cross-browser validation.
  • Reduced regression execution time by approximately 60% by redesigning TestNG suites for parallel execution and scaling cross-browser runs through Selenium Grid.
  • Improved automation stability by approximately 30% through framework refactoring, flaky-test remediation, synchronization improvements, and reliable CI pipeline execution.

Education & Recognition

A learning path that now meets AI-native quality work.

Graduate study in AI and ML complements practical leadership in automation, distributed systems, performance engineering, and AI-assisted quality workflows.

Education

  • M.Tech - Artificial Intelligence & Machine LearningBirla Institute of Technology and Science, Pilani | Pursuing, 2027 | CGPA: 7.4
  • M.C.A - Computer ApplicationsBharathiar University, Coimbatore | 2017 | CGPA: 7.3
  • B.C.A - Computer ApplicationsVLB Janakiammal College of Arts & Science, Coimbatore | 2014 | CGPA: 8.4

Awards & Recognition

  • Swiggy Certified ManagerSwiggy Limited | 2025
  • 1x Quarterly Swiggstar AwardSwiggy Limited
  • 4x Most Valuable PersonSwiggy Limited
  • 3x Samsung Creative Intelligence AwardSamsung Electronics

Contact

Let us talk test architecture, quality strategy, and resilient delivery.

I am most useful where quality needs to become a product engineering capability, not a late-stage checklist.

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