Kirti is available for hire
Hire KirtiKirti Ranjan Satapathy
Verified Expert in Engineering
SDET and QA Automation Architect and Developer
Bengaluru, India
Toptal member since July 10, 2026
Bio
Kirti is a principal SDET and QA automation architect with 11+ years of experience helping organizations build scalable automation platforms and accelerate software delivery. He specializes in Playwright, TypeScript, AI-driven testing, and CI/CD. Kirti has designed enterprise automation frameworks that reduced regression effort by 70% and improved release efficiency by 35%, enabling faster, more reliable releases.
Portfolio
Creative Synergies Group
Playwright, TypeScript, Grafana k6, Postman, Azure DevOps, API Testing...
Wissen
Playwright, TypeScript, Microservices, GitHub Actions, Jenkins, Linux, Postman...
Kongsberg Digital
Playwright, TypeScript, Docker, Kubernetes, Linux, InfluxDB, Postman...
Experience
- Test Automation - 11 years
- Selenium - 8 years
- API Testing - 8 years
- CI/CD Pipelines - 7 years
- Azure DevOps - 7 years
- Playwright - 6 years
- TypeScript - 6 years
- AI Testing - 3 years
Preferred Environment
Azure DevOps, GitHub Actions, Docker, Linux, Playwright, TypeScript, Postman, SQL, Git, Agile
The most amazing...
...automation frameworks I've architected reduced regression effort by 70% and accelerated enterprise software delivery by 35%.
Work Experience
Test Lead
2026 - PRESENT
Creative Synergies Group
- Architected a next-generation Playwright automation platform integrating UI, API, AI-assisted test generation, self-healing, and CI/CD, enabling scalable automation across multiple enterprise applications.
- Built an AI-enabled performance testing framework using Grafana k6 that automated metrics collection, result analysis, and executive reporting, significantly reducing performance analysis effort.
- Developed AI-powered engineering tools that automated requirement analysis, generated test cases from user stories, and improved test design productivity across QA teams.
- Defined a QA strategy, testing standards, and review processes while mentoring engineers to improve automation quality, consistency, and delivery readiness.
- Integrated AI-driven testing into the SDLC by introducing intelligent automation workflows that accelerated test creation and improved release confidence.
- Collaborated with engineering and product teams to establish scalable quality engineering practices, enabling faster delivery and improved software reliability.
Technologies: Playwright, TypeScript, Grafana k6, Postman, Azure DevOps, API Testing, REST API Automation, GitHub Actions, Docker, AI Testing, Model Context Protocol (MCP), Large Language Models (LLMs), Swagger, Scrum, JavaScript, Test-driven Development (TDD), Retrieval-augmented Generation (RAG), LangChain, Performance Testing, CI/CD Pipelines, Test Automation, Git, Agile, PostgreSQL, Test Cases, Quality Assurance (QA), QA Testing, Automated Testing, QA Process, AI Integration, REST APIs, Mobile, React Native, QA Automation, Pipelines, Log Analysis, Automated UI Testing, UI Testing, Mobile App Testing, Mobile Apps, Mobile Device QA Automation, React Native Testing Library, Manual QA, Manual Testing, Test Planning, Acceptance Testing, Cypress, Technical Leadership, Team Management, SQL, Testing, Smoke Testing, E2E Testing, Functional Testing, Integration Testing, Testing Services, Web Service Testing, AI Chatbots, Azure, Manual Software Testing, Regression Testing, Automation, Architecture, APIs, Test Automation Frameworks, Load Testing, Data Quality, Data Pipelines, Web Applications, JSON, REST, AI Tools, Communication, Attention to Detail, Code Review, Screeners, Written Communication, Team Leadership
Principal SDET
2025 - 2026
Wissen
- Architected and implemented a scalable Playwright and TypeScript automation framework for enterprise fund services applications, improving test coverage, execution speed, and long-term maintainability.
- Designed a low-code automation platform that accelerated onboarding of new applications, reducing manual scripting effort and time-to-automation.
- Implemented AI-assisted, specification-driven test automation using LLM capabilities, enabling faster test generation, standardized onboarding, and improved developer productivity.
- Built an end-to-end automation platform integrating UI, API, and microservices testing, providing comprehensive validation across distributed enterprise systems.
- Enabled shift-left quality engineering by integrating automation into early SDLC phases, improving defect detection, and accelerating release readiness.
- Led quality engineering initiatives by defining automation architecture, test strategy, CI/CD integration, and defect management processes across enterprise projects.
- Established automation standards and engineering best practices that improved framework consistency, maintainability, and onboarding across multiple teams.
Technologies: Playwright, TypeScript, Microservices, GitHub Actions, Jenkins, Linux, Postman, MongoDB, API Testing, Azure DevOps, Docker, PostgreSQL, GitHub Copilot, Swagger, Scrum, JavaScript, Test-driven Development (TDD), REST API Automation, CI/CD Pipelines, Test Automation, Git, Agile, Test Cases, Quality Assurance (QA), QA Testing, Automated Testing, QA Process, AI Integration, REST APIs, QA Automation, Pipelines, Log Analysis, Automated UI Testing, UI Testing, Manual QA, Manual Testing, Test Planning, Acceptance Testing, Fintech, Technical Leadership, Testing, Smoke Testing, E2E Testing, Functional Testing, Integration Testing, Testing Services, Web Service Testing, Azure, Manual Software Testing, Regression Testing, Automation, Architecture, APIs, Test Automation Frameworks, Data Quality, Data Pipelines, Web Applications, JSON, REST, AI Tools, Communication, Attention to Detail, Code Review, Screeners, Written Communication, Team Leadership
Senior SDET
2021 - 2025
Kongsberg Digital
- Architected enterprise-grade Playwright and TypeScript automation frameworks using modern design patterns, reducing regression effort by 70% while improving scalability and long-term maintainability.
- Automated validation of containerized microservices running on Docker and Kubernetes, ensuring reliability of Linux-based Industrial IoT and Edge applications.
- Migrated 300+ Protractor automation scripts to Playwright in just 20 days, significantly improving execution speed, maintainability, and developer productivity.
- Validated high-volume time-series sensor data using InfluxDB, ensuring accuracy and reliability of Industrial IoT edge systems.
- Designed and executed API validation for microservices, ensuring reliable communication across distributed enterprise applications.
- Mentored QA engineers in adopting modern automation frameworks and engineering best practices, improving team productivity and code quality.
- Integrated Azure DevOps CI/CD pipelines with automated testing, accelerating continuous delivery, and improving release efficiency by 35%.
- Built an AI-powered MCP server for intelligent API and performance testing, reducing test execution from hours to minutes through natural language-driven automation.
- Developed a retrieval-augmented generation (RAG) assistant leveraging LLMs that was later integrated into the company's core product offerings.
- Designed and integrated an AI evaluation framework into CI/CD pipelines to automatically validate LLM outputs before production releases.
Technologies: Playwright, TypeScript, Docker, Kubernetes, Linux, InfluxDB, Postman, Azure DevOps, Large Language Models (LLMs), API Testing, REST API Automation, Model Context Protocol (MCP), GitHub Copilot, SQL, Swagger, Scrum, JavaScript, Grafana k6, Test-driven Development (TDD), Retrieval-augmented Generation (RAG), LangChain, AutoIt, Performance Testing, CI/CD Pipelines, Test Automation, Git, Agile, AI Testing, Test Cases, Quality Assurance (QA), QA Testing, Automated Testing, QA Process, AI Integration, REST APIs, Mobile, React Native, QA Automation, Pipelines, Log Analysis, Automated UI Testing, UI Testing, Mobile App Testing, Mobile Apps, Mobile Device QA Automation, React Native Testing Library, Manual QA, Manual Testing, Test Planning, Acceptance Testing, Cypress, Technical Leadership, Testing, Smoke Testing, E2E Testing, Functional Testing, Integration Testing, Testing Services, Web Service Testing, AI Chatbots, Azure, Manual Software Testing, Regression Testing, Automation, Architecture, APIs, Test Automation Frameworks, Load Testing, Data Quality, Data Pipelines, Web Applications, JSON, REST, AI Tools, Communication, Attention to Detail, Code Review, Screeners, Written Communication, Team Leadership
Technical Lead
2015 - 2021
Mindtree Ltd.
- Designed and enhanced enterprise Selenium automation frameworks using Java and C#, accelerating regression testing for airline and financial services applications.
- Executed end-to-end functional, regression, integration, API, and data validation testing across large-scale enterprise applications, improving release quality and system reliability.
- Performed SQL-based back-end validation to ensure data integrity and consistency across complex enterprise systems.
- Designed and executed API integration and contract testing using Postman and Swagger to validate service reliability.
- Led a 12-member QA team delivering automation and functional testing, improving delivery quality, engineering collaboration, and project execution.
- Contributed to the test automation center of excellence by defining quality engineering practices, automation standards, and governance models adopted across projects.
- Developed Power BI dashboards providing real-time visibility into project health, quality metrics, and delivery status for engineering stakeholders.
- Partnered with business and engineering stakeholders to define requirements, quality strategy, and release plans for enterprise software initiatives.
- Strengthened client relationships through proactive communication and consistent delivery, contributing to high customer satisfaction and long-term engagement.
- Mentored automation engineers in Selenium framework development and best practices, helping improve code quality and technical capability across the QA team.
Technologies: Selenium, Java, C#, SQL, Postman, Swagger, AutoIt, Azure DevOps, API Testing, REST API Automation, Microsoft Power BI, UiPath, Microservices, Docker, Scrum, Behavior-driven Development (BDD), Test-driven Development (TDD), Jenkins, CI/CD Pipelines, Test Automation, Git, Agile, Test Cases, Quality Assurance (QA), QA Testing, Automated Testing, QA Process, REST APIs, Mobile, React Native, QA Automation, Pipelines, Log Analysis, Automated UI Testing, UI Testing, Mobile App Testing, Mobile Apps, Mobile Device QA Automation, React Native Testing Library, Manual QA, Manual Testing, Test Planning, Acceptance Testing, Fintech, Technical Leadership, Team Management, Snowflake, ETL Testing, ETL Tools, Data Integrity Testing, Data Build Tool (dbt), Testing, Smoke Testing, E2E Testing, Functional Testing, Integration Testing, Testing Services, Web Service Testing, Azure, Manual Software Testing, Regression Testing, Automation, Architecture, APIs, Test Automation Frameworks, Load Testing, Data Quality, Data Pipelines, Web Applications, JSON, REST, Communication, Attention to Detail, Code Review, Screeners, Written Communication, Team Leadership
Experience
API Tester MCP
https://github.com/kirti676/api_tester_mcpAn AI-powered model context protocol (MCP) server that I designed and developed to simplify API quality engineering through natural language. The platform enables AI assistants such as Claude, Cursor, and VS Code to understand API specifications (OpenAPI/Swagger, Postman Collections, and GraphQL schemas) and automatically generate production-ready API test suites across frameworks, including Playwright, Supertest, Jest, Cypress, and Pytest.
Beyond code generation, the server scaffolds complete test projects, manages authentication, executes generated tests, validates API responses, and produces detailed HTML reports. It significantly reduces the time required to create, maintain, and execute API automation by allowing engineers to describe testing requirements in plain English instead of writing repetitive boilerplate code.
The project demonstrates my expertise in AI-assisted software engineering, automation architecture, API testing, and developer productivity by applying MCP, LLMs, and modern testing frameworks.
Beyond code generation, the server scaffolds complete test projects, manages authentication, executes generated tests, validates API responses, and produces detailed HTML reports. It significantly reduces the time required to create, maintain, and execute API automation by allowing engineers to describe testing requirements in plain English instead of writing repetitive boilerplate code.
The project demonstrates my expertise in AI-assisted software engineering, automation architecture, API testing, and developer productivity by applying MCP, LLMs, and modern testing frameworks.
AI-enabled Enterprise Playwright Automation Platform
Designed and architected a modular, enterprise-grade automation platform using Playwright and TypeScript to support UI, API, and end-to-end testing across multiple enterprise applications. The framework was built for scalability, reusability, and maintainability, enabling rapid onboarding of new applications with minimal customization.
I implemented a layered architecture with reusable page components, custom fixtures, service abstractions, configuration-driven execution, centralized reporting, and comprehensive logging. The framework supported parallel execution, cross-browser testing, data-driven testing, API validation, and seamless CI/CD integration with Azure DevOps and GitHub Actions.
I integrated AI-assisted capabilities, including intelligent test generation, self-healing, automated failure categorization, root cause analysis, and audit logging, to improve developer productivity and the reliability of automation.
The platform established a standardized quality engineering solution that reduced regression effort, accelerated releases, and enabled consistent adoption of automation across enterprise teams.
I implemented a layered architecture with reusable page components, custom fixtures, service abstractions, configuration-driven execution, centralized reporting, and comprehensive logging. The framework supported parallel execution, cross-browser testing, data-driven testing, API validation, and seamless CI/CD integration with Azure DevOps and GitHub Actions.
I integrated AI-assisted capabilities, including intelligent test generation, self-healing, automated failure categorization, root cause analysis, and audit logging, to improve developer productivity and the reliability of automation.
The platform established a standardized quality engineering solution that reduced regression effort, accelerated releases, and enabled consistent adoption of automation across enterprise teams.
AI-enabled Performance Testing Framework with k6
Designed and developed a reusable performance testing framework using Grafana k6 to standardize load, stress, spike, soak, and scalability testing for enterprise web applications and APIs. The framework was built with a modular, configuration-driven architecture that enabled rapid creation and execution of performance test suites across multiple environments with minimal setup.
I implemented reusable utilities for dynamic test data generation, authentication handling, custom metrics collection, thresholds, and environment-specific configuration. I integrated the framework with Azure DevOps CI/CD pipelines to enable automated performance validation during releases and generate detailed HTML reports with historical trend analysis.
I also enhanced the framework with AI-assisted capabilities to automatically summarize test results, identify performance bottlenecks, categorize failures, highlight SLA violations, and generate executive-friendly reports with actionable recommendations.
The solution significantly reduced manual analysis effort, standardized performance engineering practices, and enabled development teams to identify scalability issues early in the software delivery lifecycle.
I implemented reusable utilities for dynamic test data generation, authentication handling, custom metrics collection, thresholds, and environment-specific configuration. I integrated the framework with Azure DevOps CI/CD pipelines to enable automated performance validation during releases and generate detailed HTML reports with historical trend analysis.
I also enhanced the framework with AI-assisted capabilities to automatically summarize test results, identify performance bottlenecks, categorize failures, highlight SLA violations, and generate executive-friendly reports with actionable recommendations.
The solution significantly reduced manual analysis effort, standardized performance engineering practices, and enabled development teams to identify scalability issues early in the software delivery lifecycle.
Education
2010 - 2014
Bachelor of Technology Degree in Electronics and Telecommunication Engineering
Biju Patnaik University of Technology (BPUT) - Rourkela, Odisha, India
Certifications
APRIL 2026 - PRESENT
Microsoft Azure AI Essentials Professional Certificate by Microsoft and LinkedIn
OCTOBER 2025 - PRESENT
API Testing Learning Path Certificate
Postman
AUGUST 2025 - PRESENT
Generative AI Foundations Certificate
upGrad
AUGUST 2025 - PRESENT
Model Context Protocol: Advanced Topics
Anthropic
AUGUST 2025 - PRESENT
Introduction to Model Context Protocol
Anthropic
AUGUST 2025 - PRESENT
Performance Testing: Introduction to k6 for Beginners
Udemy
JANUARY 2025 - PRESENT
Cypress With TypeScript
Test Automation University
JANUARY 2025 - PRESENT
Advanced Playwright
Test Automation University
DECEMBER 2024 - PRESENT
Microsoft Certified: Azure AI Fundamentals (AI-900)
Microsoft
NOVEMBER 2019 - PRESENT
Certified Blockchain Developer
Blockchain Council
OCTOBER 2019 - PRESENT
Certified Blockchain Expert
Blockchain Council
Skills
Libraries/APIs
Playwright, REST APIs, Newman, OpenAPI, React Native Testing Library
Tools
Postman, GitHub Copilot, Grafana k6, Jenkins, Git, Microsoft Power BI
Languages
TypeScript, SQL, Java, C#, JavaScript, Python, AutoIt, GraphQL, Snowflake
Frameworks
Selenium, Cypress, Swagger, React Native, Appium
Paradigms
Azure DevOps, Scrum, Test-driven Development (TDD), Test Automation, Agile, Automated Testing, Manual Testing, Acceptance Testing, Testing, E2E Testing, Functional Testing, Automation, REST, Microservices, Behavior-driven Development (BDD), Model Context Protocol (MCP), Load Testing
Platforms
Mobile, Docker, Linux, Blockchain, Azure, Kubernetes
Storage
Data Pipelines, JSON, MongoDB, InfluxDB, PostgreSQL
Other
GitHub Actions, API Testing, REST API Automation, CI/CD Pipelines, Test Cases, Quality Assurance (QA), QA Testing, QA Process, QA Automation, Pipelines, Log Analysis, Automated UI Testing, UI Testing, Mobile App Testing, Mobile Apps, Manual QA, Test Planning, Technical Leadership, Smoke Testing, Integration Testing, Testing Services, Web Service Testing, Manual Software Testing, Regression Testing, Architecture, APIs, Test Automation Frameworks, Data Quality, Web Applications, Communication, Attention to Detail, Code Review, Screeners, Written Communication, Team Leadership, Large Language Models (LLMs), Retrieval-augmented Generation (RAG), LangChain, UiPath, Performance Testing, Artificial Intelligence (AI), Generative Artificial Intelligence (GenAI), AI Testing, AI Integration, Mobile Device QA Automation, Fintech, Team Management, AI Chatbots, AI Tools, Science, Microsoft Azure, Machine Learning, Azure AI Services, Technology, Automation Framework Development, Cryptocurrency, ETL Testing, ETL Tools, Data Integrity Testing, Data Build Tool (dbt)
Collaboration That Works
How to Work with Toptal
Toptal matches you directly with global industry experts from our network in hours—not weeks or months.
1
Share your needs
Discuss your requirements and refine your scope in a call with a Toptal domain expert.
2
Choose your talent
Get a short list of expertly matched talent within 24 hours to review, interview, and choose from.
3
Start your risk-free talent trial
Work with your chosen talent on a trial basis for up to two weeks. Pay only if you decide to hire them.
Top talent is in high demand.
Start hiring