AI-Augmented SDET Test Automation Engineer

PRATEEK SINHA

SDET / Automation Engineer - AI-Augmented Test Automation Specialist

India ***************@*****.*** 843-***-**** in/prateeksinha4 KEY IMPACT HIGHLIGHTS

85%

TEST AUTOMATION COVERAGE

250+

E2E SCENARIOS AUTOMATED

65%

FASTER REGRESSION CYCLES

2x

DELOITTE AWARDS (2023, 2026)

SUMMARY

Results-driven SDET / Automation Engineer with 4+ years of experience in Software Quality Assurance, specializing in end-to-end Web, API, and cross-platform automation using Java and Selenium WebDriver. Proven track record in building scalable automation frameworks and leveraging AI-powered tools and LLMs for intelligent test design, self-healing scripts, and synthetic data generation. Working knowledge of Python for automation scripting and utility tasks, and hands-on exposure to running AI-assisted automation pipelines on Microsoft Azure. Skilled in Rest Assured, TestNG, Cucumber (BDD), CI/CD (Jenkins, GitHub Actions), and non-functional testing (JMeter, K6) to accelerate release velocity and drive high product quality. SKILLS

● Programming & Scripting: Java, Python (Basic), .NET, SQL

● Test Automation Frameworks: Selenium WebDriver, Rest Assured, Playwright, TestNG, JUnit, Cucumber (BDD)

● CI/CD & Infrastructure: Jenkins, GitHub Actions, Git, Maven, Gradle, AWS Cloud Services, Microsoft Azure

● Non-Functional & Performance Testing: JMeter, K6, Security Sanity, Load & Stress Testing

● Databases & Tools: PostgreSQL, Oracle, JIRA, Postman

● AI & Modern QA Ops: AI-powered test script generation (GitHub Copilot, Claude, Gemini), self-healing selectors, LLM test data synthesis EXPERIENCE

Software Development Engineer in Test — Deloitte USI Aug 2022 - Present

● Architected scalable Web UI & API test frameworks using Java, Selenium WebDriver, and Rest Assured, automating 250+ end-to-end business scenarios and achieving 85% overall test automation coverage.

● Engineered modular, reusable test libraries and enhanced DOM object locator strategies (XPath, CSS, Shadow DOM), reducing script maintenance overhead by 40% during UI changes.

● Accelerated regression testing cycles by 65% across UAT, Integration, and Pre-Prod environments by designing, executing, and optimizing 400+ smoke, sanity, and regression test suites.

● Optimized test design cycles by 35% by leveraging AI-assisted tools (GitHub Copilot, LLMs) for synthetic test data generation, automated script drafting, and BDD scenario creation.

● Streamlined Git version control and release branch management across multi-developer teams, resolving code conflicts and maintaining 100% clean deployment builds for every product release. Software Developer Intern — Techciti Software Consulting Pvt. Ltd. Nov 2020 - Dec 2020

● Spearheaded the integration of Two-Factor Authentication (2FA) for secure data sharing, reducing security vulnerability risks by 45% while ensuring compliance with client data privacy standards.

● Translated complex client business requirements into actionable QA strategies, defining clear acceptance criteria and accelerating test plan approval cycles by 30%.

● Engineered reusable, generic test utilities and automation functions within the core development framework, reducing code duplication and cutting script creation time by 35%.

PERSONAL PROJECT

AI-Assisted Test Automation Pipeline on Azure

Personal Project Selenium WebDriver, Java, TestNG, Python, GitHub Copilot/LLM, Azure DevOps, Azure Blob Storage

● Built a Selenium WebDriver + Java + TestNG automation suite for a sample web application and used an LLM-assisted approach to auto-generate self-healing element locators that adapt when the UI changes.

● Set up an Azure DevOps pipeline to trigger the automation suite on every commit, running the tests on an Azure-hosted build agent and publishing pass/fail results as pipeline artifacts.

● Used Azure Blob Storage to archive test execution reports, screenshots on failure, and historical trend data for each pipeline run.

● Wrote Python scripts to generate synthetic test data using LLM prompts and to summarize flaky-test patterns across recent pipeline runs, helping prioritize which locators most needed self-healing. CERTIFICATIONS & AWARDS

● Microsoft Certified: Azure AI Fundamentals - Microsoft, 2023

● Spot Award, Deloitte (2026) - Recognized for exceptional technical contributions in scaling test automation coverage and leveraging AI-assisted tools to optimize test script design.

● Applause Award, Deloitte (2023) - Recognized for technical excellence, driving automation coverage, and reducing regression turnaround time for critical project deliverables. EDUCATION

B.Tech in Computer Science and Engineering, Vellore Institute of Technology, Vellore, India - 8.4/10 (May 2022)

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