Shreya S.

Key Skills

Software

Other

Don't disclose

Data Annotation Tech

Top Subject Matter

AI-assisted UI/API test script generation and orchestration

Model-based automated testing for SAP workflows (structured test-case data)

AI-assisted locator generation and self-healing UI test automation

Top Data Types

Computer Code Programming

Audio

Image

Top Task Types

Function Calling

Data Collection

Classification

Text Generation

Question Answering

Freelancer Overview

Senior Automation Engineer (AI-assisted test generation/orchestration via Claude AI + MCP server) at Capgemini. Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Other. Education includes Bachelor of Engineering, Dayananda Sagar College Of Engineering (2023). AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Function Calling and Data Collection.

Labeling Experience

Project: AI Self-Healing Playwright Framework (Claude AI + locator repair)

Don't discloseFunction Calling

Built an AI self-healing Playwright automation framework that uses Claude AI to analyze live HTML and suggest corrected locators when selectors break. The system supports automated remediation of test failures by generating updated locator instructions, reducing manual intervention during runtime. This represents AI-driven generation of structured test guidance based on page state. • Implemented Playwright (TypeScript) integration with Claude AI for real-time detection and healing of broken locators • Used Claude AI API to analyze page HTML and suggest corrected selectors • Automated locator correction to maintain stable UI regression execution • Reduced manual effort during test failures by enabling self-healing behavior

2024 - Present

Senior Automation Engineer (AI-assisted test generation/orchestration via Claude AI + MCP server) at Capgemini

Function Calling

Designed and maintained an AI-assisted test orchestration pipeline using Claude AI integration to generate and execute end-to-end test flows. The work involved orchestrating AI-driven actions rather than manual labeling, enabling automated creation of test scripts and locator handling for UI/API automation. This function-calling style workflow supported structured test execution with improved stability and reusability. • Integrated Claude AI with Playwright via an MCP server for AI-assisted test script generation and execution orchestration • Enabled autonomous generation, management, and execution of end-to-end test flows • Used Playwright (TypeScript) framework patterns to improve scalability and reduce manual regression work • Improved test reliability through CI/CD integration (Jenkins, Git, Docker) and reduced deployment risk

2024 - Present

Test Automation Engineer (SAP Tosca Project) at Capgemini

OtherData Collection

Automated end-to-end SAP business process testing using Tosca and designed model-based test cases to validate functional accuracy and system reliability. While not a traditional labeling role, the work required constructing structured test inputs and reusable test components that effectively served as supervised test-case data for automation. CI/CD integration ensured consistent execution of the generated test artifacts for release validation. • Automated SAP business process testing using Tricentis Tosca • Designed and executed model-based test cases for critical SAP modules • Built reusable Tosca test components to improve test reusability • Integrated Tosca automation into Jenkins-based CI/CD pipeline for faster release validation

2023 - 2024

Education

Work History