Quality Assurance Engineer

Hi, I'm Vignesh Sekar

Elevating Software Quality
Through AI-Enabled Testing.

Software Quality Analyst with 4+ years of experience designing and implementing test strategies for complex systems, combining manual, automation, API, RPA, and AI-enabled testing. I use Cursor and LLM-assisted workflows to accelerate quality delivery.

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Specialization QA Automation · API Testing · Gen AI
Experience 4+ years in QA & Test Automation
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Active suite

Robot Framework – Credlyst

Automation Framework • POM • Stability

Progress 0%
Passed 0
Blocked 0
Failed 0
Playwright JavaScript POM Robot Framework

Live logs

env: credlyst-staging
  • INFO Initializing credit risk validation…

About

QA Engineer · Automation · Gen AI

Vignesh Sekar

Open to opportunities
4+ yrs Quality Systems AI + Automation

QA Engineer with 4+ years of experience delivering quality across fintech, enterprise, web and mobile, and AI-enabled applications.

Strong background in manual and integration testing, with hands-on execution of the STLC — requirement analysis, test planning, test case design, execution, defect management, and release validation in Agile environments.

Experienced in building stable automation frameworks with Robot Framework, Playwright, and Selenium using POM, focused on maintainability, reliability, and flaky test reduction.

Recently expanded into Generative AI and prompt engineering, working on token-efficient prompts and cost-aware LLM usage for practical, production-ready workflows. I use Cursor and AI-assisted tooling to accelerate test design and automation, keeping human QA judgement at the center so teams ship faster with more confidence.

Fintech & Lending Enterprise Products Web & Mobile Apps AI-enabled Systems

Work style

How I work

  • Methodical quality ownership with attention to edge cases and risk areas
  • Clear defect reporting, triage participation, and fix verification
  • Automation mindset: stable locators, reliable runs, maintainable structure
  • Modern QA: combining testing discipline with AI-assisted efficiency and Cursor-driven workflows

Signature approach

"Prevent defects → stabilize releases → increase trust."

STLC Ownership Playwright (JS) POM Design Flaky Test Reduction Prompt Engineering Token Optimization Cursor · AI-assisted QA

Skills & What I do

How I apply QA practices across different types of testing and delivery work.

Functional Testing

  • Design and execute clear, traceable test cases from requirements and user journeys.
  • Cover happy paths, edge cases, and regression scenarios to protect critical flows.

API / Web Services

  • Validate REST and GraphQL endpoints using Postman and Robot Framework.
  • Check contracts, status codes, payloads, and DB effects for reliability.

AI‑Enabled Testing

  • Use LLMs and tools like Cursor to accelerate test design, data generation, and analysis.
  • Apply Gen AI thoughtfully to improve coverage and speed while keeping human QA judgement in control.

Test Automation

  • Build stable UI and API suites with Robot Framework, Playwright, and Cypress.
  • Use POM, reliable locators, and CI-friendly suites to reduce flakiness.

Mobile & Cross‑Platform

  • Validate responsive UIs across devices, viewports, and browsers.
  • Focus on real user flows to ensure a consistent experience end‑to‑end.

Quality Bug Reports

  • Write concise, reproducible defects with clear impact and evidence.
  • Support triage, prioritization, and verification to keep releases predictable.

Tools & Technologies

The QA stack I use to design, execute, and automate tests.

Automation & Languages
Robot Framework Selenium Cypress Playwright Python JavaScript
API & Backend
Postman GraphQL SQL REST APIs
Management & Collaboration
Jira X‑Ray plugin Confluence Agile / Scrum GitHub Slack
Tools & Platforms
Cursor PyCharm Figma Zeplin RPA BDD / TDD Prompt Engineering LLM-assisted QA

Highlighted QA Projects

Selected examples where I have applied QA practices—including AI and LLM-enabled workflows—to improve product quality.

Fintech · Credit Risk

Credlyst – Credit Risk Analytics Platform

End‑to‑end QA for a credit risk platform validating borrower financial data, hygiene checks and credit models used for institutional lending decisions.

  • Validated financial data and hygiene checks (CIBIL, GST, EPFO, litigation, and more).
  • Tested modules such as Rating Model, Peer Comparison, Collection Efficiency, and Limits Model.
  • Built Robot Framework smoke suites across UI and API layers to safeguard critical flows.
  • Helped reduce critical defects found late in the cycle by strengthening regression coverage around key lending journeys.
Stack: Robot Framework, Selenium, Postman, Jira
Fintech · Lending

Artemis Institutional – Lending & Onboarding

QA for institutional lending workflows including onboarding, credit workflows and disbursements for borrowers.

  • Tested dynamic field population and complex credit workflows across multiple user roles.
  • Developed Robot Framework smoke automation for critical modules.
  • Implemented UI and API smoke suites to ensure end‑to‑end stability on every release.
  • Improved release confidence by catching onboarding and credit workflow issues earlier in the sprint.
Stack: Robot Framework, Selenium, Postman, Jira
CRM · Web & Mobile

Calibraint CRM – Customer Management Platform

QA for a configurable CRM product supporting diverse sales workflows, deal tracking and customer communication.

  • Designed and executed manual and API tests across web, mobile, and responsive interfaces.
  • Built Cypress automation scripts for E2E, regression, smoke, and integration suites.
  • Produced daily execution reports and risk assessments to support production releases.
  • Helped stabilize core CRM journeys so sales teams could rely on consistent behaviour across environments.
Stack: Cypress, JavaScript, Postman, Jira
Crypto · Trading

Crypto Exchange – Web Trading Platform

QA automation for a high‑volume crypto exchange, covering wallet flows, trading journeys and Metamask integration.

  • Conducted integration testing from Metamask to the exchange application.
  • Created Robot Framework automation for E2E, regression, smoke, and integration tests.
  • Performed GUI, functional, regression, and compatibility testing, plus API and baseline performance checks.
  • Reduced regressions in critical wallet and trading flows by adding reliable E2E coverage and API checks.
Stack: Robot Framework, Selenium, Requests, Postman
Compliance · Reporting

ESG – Compliance & Reporting Platform

QA automation for an ESG platform: Environmental (emissions, waste, energy, climate); Social (labor, diversity, health and safety, communities); Governance (leadership, audits, controls, shareholder rights). Validated compliance workflows and reporting.

  • Built Playwright automation for E, S, and G compliance rules and reporting workflow validation.
  • Validated dashboard data and API responses for environmental, social, and governance metrics.
  • Executed regression and smoke suites for release-ready compliance and reporting features.
  • Supported audit‑ready releases by keeping ESG reports and key compliance dashboards consistently validated.
Stack: Playwright, JavaScript, Postman, Jira
Social · NFT

Swaray – Social & NFT Engagement Platform

Manual QA for a social platform and NFT marketplace enabling live video experiences and digital asset trading.

  • Performed requirements analysis, traceability, and test planning for new features.
  • Executed smoke, sanity, regression, compatibility, and ad hoc tests across environments.
  • Managed QA activities from scenario identification to test execution and reporting.
  • Helped prevent high‑impact production issues around live experiences and NFT transactions through focused test coverage.
Stack: Web & Mobile QA, Jira, Confluence

Sample Test Artifacts

Examples of how I document and communicate quality.

Test Cases & Scenarios

Well‑structured test assets covering functional, regression, smoke, and integration flows across fintech, CRM, crypto, ESG, and social platforms.

  • Fintech credit workflows, onboarding, and disbursements
  • Crypto trading, wallet, and Metamask integration flows
  • CRM pipelines, mobile app journeys, and edge cases
  • ESG compliance reporting and validation workflows

Defect Reports

Clear, reproducible Jira defects that help developers diagnose and resolve issues quickly.

  • Detailed steps to reproduce and environment details
  • Expected vs. actual behavior with supporting evidence
  • Impact, severity and risk assessment per defect

Test Reports & Dashboards

Concise quality reports that communicate sprint and release readiness to stakeholders.

  • Smoke and regression execution status per build or sprint
  • Defect trends, coverage, and high‑risk areas
  • Release recommendations and sign‑off notes

Contact

Interested in collaborating or hiring for a QA role? I would be happy to connect.

Resume

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Vignesh_Sekar_Software_Quality_Analyst.pdf PDF

Includes: • Summary • Skills • Experience • Projects • Certifications

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