Mahar Zubair Iqbal

Dubai, Dubai, United Arab Emirates

Since April 15, 2026

About

SQA Engineer with 4+ years of experience specializing in automation, API testing, and scalable QA architecture for SaaS platforms. Currently leading QA initiatives at ByteCorp, where I design end-to-end testing strategies across web and backend systems, combining automation (Playwright, Cypress), performance testing (JMeter), and AI-driven test generation workflows. Key impacts: • Reduced regression execution time to 15 minutes with 500+ automated test cases built on Playwright with parallel test execution • Improved API performance by 40% through structured performance testing using JMeter and DataDog • Identified and resolved a silent order duplication issue reducing duplicate orders from 3–5% to <0.1%, preventing $50K in monthly losses • Decreased test case creation time by 60% using AI-powered workflows • Led and mentored a team of QA engineers, driving sprint-level quality improvements Technical expertise includes: Automation Testing: Playwright & Cypress | API Testing: Postman | Performance Testing: JMeter | CI/CD: GitHub Actions | AI-driven QA | SaaS Platforms I focus on building scalable, reliable QA systems that integrate seamlessly into CI/CD pipelines and improve release confidence.

Skills

Agile TestingAutomation TestingApi TestingCross Browser TestingPytestFrontend TestingQA methodologiesQuality AssuranceJavascript Typescript

Key Strengths

Proven expertise in designing and architecting scalable automation frameworks (Playwright, Cypress, Appium) for SaaS, web, and mobile platforms.
Strong command of API testing (Postman, REST API validation), performance engineering (JMeter, Datadog), and security testing (OWASP ZAP).
Demonstrated experience with AI-driven QA workflows, including GPT-based test generation and anomaly detection, significantly reducing test creation time.
Effective leadership capabilities, evidenced by leading QA teams, mentoring engineers, and owning end-to-end quality strategy.
Proficient in CI/CD integration (GitHub Actions, Jenkins) and implementing left-shift testing practices and quality gates.
Extensive experience with various databases (MySQL, MongoDB, PostgreSQL) and test management tools (Jira, TestRail, Qase.io).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's experience demonstrates a collaborative and team-oriented mindset through leadership, mentoring, and cross-functional collaboration in agile environments. Their proactive approach to introducing innovative solutions like AI-driven QA and left-shift testing suggests a strong drive for continuous improvement and a fit for dynamic, quality-focused cultures. However, the provided psychometric test score of 0 raises significant concerns regarding validated cultural fit, despite positive indicators in the resume.

Soft Skills & Operational Fit

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Key Strengths

Proven expertise in designing and architecting scalable automation frameworks (Playwright, Cypress, Appium) for SaaS, web, and mobile platforms.
Strong command of API testing (Postman, REST API validation), performance engineering (JMeter, Datadog), and security testing (OWASP ZAP).
Demonstrated experience with AI-driven QA workflows, including GPT-based test generation and anomaly detection, significantly reducing test creation time.
Effective leadership capabilities, evidenced by leading QA teams, mentoring engineers, and owning end-to-end quality strategy.
Proficient in CI/CD integration (GitHub Actions, Jenkins) and implementing left-shift testing practices and quality gates.
Extensive experience with various databases (MySQL, MongoDB, PostgreSQL) and test management tools (Jira, TestRail, Qase.io).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit