Staff SDET | Quality Engineering & SDET Leadership
I make cloud-native delivery safer, faster, and more predictable.
I lead quality strategy for distributed systems, shaping test architecture, automation platforms, service-level validation, performance engineering, and practical AI-assisted workflows that help teams ship with confidence.
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.
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.
PRD, system-design, API-contract, solution, and code reviews surface dependency, concurrency, and observability risks before they become release issues.
Unit, component, API, contract, mock, and negative-path testing create reliable feedback across microservice boundaries.
Concurrent execution, reusable components, framework optimization, and flake remediation keep regression suites useful at delivery speed.
Load, stress, endurance, and scalability testing expose bottlenecks early and connect SLAs to realistic service behavior.
Observability, incident learning, dependency health, and release-risk governance make quality an engineering-wide responsibility.
AI-assisted test design, code review, impact analysis, and repeatable workflows accelerate delivery while preserving trustworthy quality gates.
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.
Test Architecture
Automation strategy, API and integration validation, unit and contract testing, mock-driven workflows, regression architecture, CI/CD quality gates, and release-risk governance.
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
AI-assisted test generation and review, release impact analysis, RCA acceleration, workflow automation, agentic validation patterns, GitHub Copilot, and n8n.
Technical Toolkit
Languages & APIs
Java, TypeScript, JavaScript, Node.js, Python, Shell, C, C++, REST, gRPC, GraphQL, Protocol Buffers
Automation & Quality
API, web, and mobile automation; unit, component, contract, mock, integration, and performance testing; TestNG, REST Assured, Pact, Mockito, WireMock, Gripmock, Playwright, Selenium, Appium, JMeter
Platforms
AWS, Docker, Kubernetes, Kafka, SQS, Lambda, ECS, EKS, RDS, DynamoDB, CloudFormation, Nginx, HAProxy, CI/CD
GenAI
GitHub Copilot, AI-assisted testing, agentic workflows, quality workflow automation, observability metrics, Kibana, Prometheus, and SLA reporting
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
- 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, API-contract, PR, and solution reviews across engineering PODs, identifying failure scenarios, concurrency, dependency, and observability risks early.
- Reduced regression runtime from approximately two hours to 20 minutes through concurrent execution, mock strategies, and framework optimization, cutting infrastructure and ephemeral-environment costs by approximately 40%.
- Led hands-on delivery of Playwright-based end-to-end automation for critical web workflows, building reusable test frameworks, improving regression coverage, and enabling reliable cross-browser validation across internal applications.
- Improved Java 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.
- Established consumer/provider contract and mock/stub practices, enabling deterministic validation, reducing integration risk, and expanding negative-path coverage.
- Reduced platform hardware requirements 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.
- Led cross-functional initiatives covering service deprecation, API latency and throughput optimization, Kafka DLQ investigations, idempotency and concurrency defects, and infrastructure bottlenecks.
- Provided technical direction and mentorship to SDE and SDET engineers while managing the SDET group and contributing to 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, negative-path, and unit testing.
- Improved test engineering productivity by approximately 30% through reusable automation components, standardized validation, and framework optimization.
Samsung Electronics India Private Limited
Senior SDET
- 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
- Built and maintained Selenium-based UI automation for critical workflows using Serenity BDD 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
- 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
- Quarterly Swiggstar AwardSwiggy Limited
- Most Valuable PersonSwiggy Limited
- Samsung Creative Intelligence AwardSamsung Electronics