Software quality engineering

Release confidence,
engineered.

I turn unclear requirements, product risks, and complex user journeys into practical test coverage, clear evidence, and reliable release decisions.

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ISTQB certified Dhaka, Bangladesh

Software QA Engineer

CoverageWeb · Mobile · API

ApproachAI-assisted. Human-reviewed.

Risk-led coverageScope before scripts

Evidence-first testingDecisions teams can use

Practical automationMaintainable, high-value flows

Release partnershipRequirement to production

About

Quality is a product decision, not a final checkpoint.

My work covers web, mobile, API, backend, database, and integration testing. I analyze tickets, clarify scope, create risk-based test plans, design meaningful scenarios, investigate failures, and support quality from requirement review through release and post-release validation.

Agentic AI is part of my daily QA workflow. I use agents to decompose requirements, identify assumptions and gaps, generate and review test ideas, structure test data, investigate logs and API behavior, draft automation, and debug failures. AI output is working material—not final truth. Business rules, product context, evidence, and human judgment remain the basis of every QA decision.

I am strongest when a problem crosses multiple layers. I connect user behavior with API responses, data changes, permissions, integrations, recovery paths, and release risk—then communicate the result in a way the whole team can act on.

Core expertise

Depth across the quality stack.

Testing fundamentals, engineering judgment, and automation working as one system.

Risk & test strategy

Requirement analysis, ambiguity mapping, scope definition, risk-based planning, traceability, and release criteria.

Test planning
Exploratory testing
UAT & release validation

Product quality

End-to-end validation across interfaces, services, data, roles, integrations, notifications, and recovery scenarios.

Web & mobile
API & backend
Database & integrations

Test automation

Practical automation for repeatable customer journeys, API behavior, and continuous regression confidence.

Selenium & Cypress
Appium
Postman & Rest Assured

Agentic AI for QA

Agent-assisted analysis, test design, data preparation, automation drafting, debugging, and evidence review.

Human-in-the-loop review
Coverage comparison
Failure investigation

Agentic QA workflow

Accelerate the work. Keep the judgment.

Agents widen the search space and shorten feedback loops. The test oracle and final decision stay human-owned.

01
Decompose
Break a ticket into roles, states, rules, dependencies, and open questions.
02
Map risk
Identify failure impact, integration exposure, negative paths, and recovery behavior.
03
Design & automate
Generate candidate scenarios, shape test data, and draft high-value web, mobile, or API flows.
04
Execute & investigate
Compare behavior with business rules, inspect evidence, and debug failures across layers.
05
Review & decide
Challenge AI output, close coverage gaps, communicate risk, and make release evidence useful.

Experience

Ownership that scales with the problem.

Leading quality across requirements, product journeys, integrations, automation, release validation, and production feedback.

CurrentMIAKI

Software QA Engineer

Quality across product, integration, and release layers.

Analyze requirements, tickets, user journeys, and dependencies to define scope, assumptions, risks, and acceptance coverage.
Design and execute functional, regression, exploratory, UI, API, backend, database, and end-to-end tests across web and mobile products.
Use Agentic AI for ticket analysis, requirement-gap discovery, test ideation, test data, failure investigation, documentation, and automation workflows.
Validate authentication, payment, transaction, configuration, permissions, notifications, and third-party integrations—including negative and recovery paths.
Support SIT, UAT, release validation, rollback readiness, and post-release checks with reproducible evidence and impact analysis.

Client assignmentGrameenphone · via Mir Info Systems

Senior QA contribution · Skitto ecosystem

High-value journeys across Android, iOS, web, API, and backend.

Planned risk-based testing for recharge, data and SMS purchase, authentication, payment, configuration, notification, and third-party journeys.
Investigated failures spanning UI, API, data, permissions, callbacks, and external dependencies with cross-functional teams.
Supported regression, integration validation, UAT, defect triage, release evidence, production checks, and automation scope.

Previous roleMir Info Systems

Senior Software QA Engineer

Release ownership, mentoring, and QA coordination.

Owned requirement analysis, risk-based planning, execution strategy, and release quality for assigned modules across client products.
Reviewed junior QA test scenarios and evidence to improve coverage, traceability, consistency, and defect quality.
Acted as QA point of contact, communicated release risks, and coordinated issue resolution with Product and Engineering.
Contributed across Skitto, Grameenphone web and shop, AirAstra, and FutureNation initiatives.

Earlier roleMir Info Systems

Software QA Engineer

Traceable coverage and dependable delivery.

Converted requirements and user stories into test scenarios, test cases, and reusable regression coverage.
Executed system, regression, exploratory, UI, API, database, and UAT testing across web and mobile applications.
Tracked defects in Jira and maintained TestRail execution records, coverage summaries, and release reporting.

Jan — May 2022Reelly.ai

Software QA Engineer Intern

Foundations in test design and defect lifecycle.

Created and executed functional, regression, and smoke tests for web and mobile application flows.
Reported defects with clear reproduction steps, verified fixes, and supported UAT and release readiness.
Maintained test documentation and collaborated with developers during sprint delivery.

Selected work