---
title: "Satyam Swarup - Programming Analyst in Bengaluru | Tal"
description: "Meet Satyam Swarup, Manual & Automation Test Engineer (SDET) |Immediate Joiner| AI-Augmented Testing Specialist | Selenium, Java, TestNG | API & Database Testing | GitHub Copilot | Healenium Self-Healing Automation | Open to Work based in Bengaluru. AI stack includes github copilot."
image: "https://tal.club/meet/satyam-swarup/share-image"
---

# Satyam Swarup on Tal

## Headline

Manual & Automation Test Engineer \(SDET\) \|Immediate Joiner\| AI\-Augmented Testing Specialist \| Selenium, Java, TestNG \| API & Database Testing \| GitHub Copilot \| Healenium Self\-Healing Automation \| Open to Work

## About

I'm a Manual & Automation Test Engineer \(SDET\) with 2\+ years of experience helping enterprise teams ship reliable software faster — by combining disciplined manual testing practices with automation and AI\-augmented QA techniques\. What I do: I own testing end\-to\-end across the STLC — from test case design, test plans, and requirement analysis to Functional, Regression, Smoke, Sanity, SIT, and UAT — for enterprise web and iOS applications\. I build and maintain Selenium WebDriver automation frameworks using Java and TestNG with the Page Object Model, and I validate systems at the API layer \(REST/SOAP via Postman\) and database layer \(SQL\) to catch issues before they reach production\. Where I add extra value — AI\-Augmented Testing: I don't just use AI tools, I use them deliberately and validate everything they produce: AI\-assisted test case generation from user stories using GitHub Copilot with targeted prompts for edge cases and coverage Self\-healing automation with Healenium and AI\-powered locator strategies, cutting script maintenance after UI redesigns AI\-accelerated Selenium/Java scripting, paired with rigorous manual code review before anything merges to production This "human\-reviewed AI" approach has helped me speed up test design, reduce script breakage, and keep automation frameworks maintainable as applications evolve\. Impact I've delivered: At Cognizant Technology Solutions, I contributed to 99\.9% defect\-free production releases, reduced integration defects by 20\-30% through early functional/API/SQL testing, and drove RCA and defect triage with developers and BAs to zero critical production issues during hypercare\. Tools & Technologies: Selenium WebDriver, Java, TestNG, JUnit, Postman, SQL, JIRA, Confluence, Git/GitHub, Maven, Gradle, Jenkins, GitHub Copilot, Healenium I'm passionate about quality engineering that blends strong manual testing fundamentals with smart use of AI — not replacing testers, but making them faster and more effective\. Currently open to Manual/Automation QA and SDET roles where I can bring this AI\-augmented testing approach to a growing engineering team\. Let's connect — always happy to talk testing, automation, or how AI is reshaping QA, also I am an immediate joiner\.

## Location

Bengaluru

## AI stack

github copilot

## Work experience

Programming Analyst at Cognizant, Sep 2024 \- Jun 2025 · 10 mos, Hybrid, Owned end\-to\-end manual and automation testing for enterprise web and iOS applications, combining traditional QA rigor with AI\-augmented testing techniques to accelerate delivery without compromising quality\. Designed and executed manual test cases, test plans, and exploratory/ad\-hoc testing, achieving 100% test coverage and a 99\.9% defect\-free launch record\. Performed manual and automated E2E, Functional, API \(REST, Postman\), and Database \(SQL\) testing across Chrome, Edge, and iPad Safari, reducing integration defects by 20\-30%\. Executed full STLC \(Smoke, Sanity, System, SIT\) within Agile/SDLC, led UAT sign\-off, and drove Hypercare RCA with Developers/BAs — triaging defects in JIRA to zero critical production issues\. Built and maintained Selenium WebDriver/Java/TestNG regression automation scripts, sustaining a 99\.9% bug\-free production record while cutting manual regression effort\. Used GitHub Copilot for AI\-assisted test case generation from user stories via targeted prompts specifying context, edge cases, and expected output — speeding up test design and coverage consistency\. Implemented Healenium self\-healing automation with AI\-powered locators, replacing brittle hardcoded XPath/CSS selectors and cutting script maintenance after UI redesigns\. Leveraged GitHub Copilot to accelerate Selenium/Java scripting and refactoring, applying rigorous manual review of AI\-generated code to ensure production\-grade reliability\.

programmer Analyst tainee at Cognizant, Sep 2023 \- Sep 2024 · 1 yr 1 mo, Hybrid, Owned end\-to\-end manual and automation testing for enterprise web and iOS applications, combining traditional QA rigor with AI\-augmented testing techniques to accelerate delivery without compromising quality\. Designed and executed manual test cases, test plans, and exploratory/ad\-hoc testing, achieving 100% test coverage and a 99\.9% defect\-free launch record\. Performed manual and automated E2E, Functional, API \(REST, Postman\), and Database \(SQL\) testing across Chrome, Edge, and iPad Safari, reducing integration defects by 20\-30%\. Executed full STLC \(Smoke, Sanity, System, SIT\) within Agile/SDLC, led UAT sign\-off, and drove Hypercare RCA with Developers/BAs — triaging defects in JIRA to zero critical production issues\. Built and maintained Selenium WebDriver/Java/TestNG regression automation scripts, sustaining a 99\.9% bug\-free production record while cutting manual regression effort\. Used GitHub Copilot for AI\-assisted test case generation from user stories via targeted prompts specifying context, edge cases, and expected output — speeding up test design and coverage consistency\. Implemented Healenium self\-healing automation with AI\-powered locators, replacing brittle hardcoded XPath/CSS selectors and cutting script maintenance after UI redesigns\. Leveraged GitHub Copilot to accelerate Selenium/Java scripting and refactoring, applying rigorous manual review of AI\-generated code to ensure production\-grade reliability\.

QEA\-SDET INTERN at Cognizant, May 2023 \- Sep 2023 · 5 mos, On\-site, Gained hands\-on foundation in manual and automation testing through academic and real\-world projects, building core QA skills alongside early exposure to AI\-assisted testing tools\. Designed and documented manual test cases across three academic/hands\-on projects \(hackathon and capstone\), applying structured test scripting, defect logging, and Git/GitHub version control\. Built Selenium WebDriver/TestNG automation scripts in Java using Maven, gaining hands\-on exposure to Selenium Grid for parallel test execution\. Collaborated within Agile\-style project workflows, applying test design and defect tracking practices aligned with industry STLC standards\. Gained practical exposure to Jenkins CI/CD pipelines, understanding how automated test suites integrate into continuous build and deployment processes\. Explored GitHub Copilot for AI\-assisted test script drafting and boilerplate Selenium/Java code generation, critically reviewing all AI suggestions against test requirements and coding standards before use\. Developed a strong foundation in balancing speed gains from AI code assistance with the manual validation discipline required for production\-grade automation\.

## Education

Bachelor of Technology, Computer Engineering, haldia institute of technology

[View the original profile](https://tal.club/meet/satyam-swarup)

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