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BENCH+ PROFILE

Balaji

QA Engineer
AI-focused test automation and quality engineering for web, API, data, and LLM-based enterprise systems

Lead-level QA automation specialist with strong hands-on coverage across UI, API, data validation, CI/CD-integrated automation, and quality validation for LLM-based workflows.

BEST-FIT USE CASE

Best suited for leading test automation strategy and implementation for enterprise web, API, data-heavy, payment, healthcare, or AI-assisted decision-support systems where quality frameworks, regression automation, and LLM response validation are central.

Not the primary fit: For roles centered on building production AI features, model training, or owning platform infrastructure, validate the expected engineering ownership against the hands-on quality-engineering scope.

EVIDENCE HIGHLIGHTS

What supports the assessment

01

Led QA and automation strategy for an LLM-based financial decision-support system, covering UI, API, data ingestion, generated-response validation, and financial reporting workflows.

02

Designed and maintained Playwright-based UI and API automation frameworks using TypeScript, JavaScript, Python, C#, REST API tools, SQL, and CI/CD integration.

03

Validated multi-step AI workflows including prompt execution, context handling, tool and API orchestration, response consistency, semantic correctness, structured outputs, and business-rule adherence.

04

Built API automation for authentication, authorization, request and response contracts, error handling, integrations, and service reliability.

05

Implemented automation for payment gateway flows including checkout, authorization, capture, refund, chargeback, settlement, webhooks, signatures, multi-currency transactions, taxes, discounts, coupons, and invoices.

06

Developed automation for email, PDF, web, mobile, desktop, and regression testing using C#, Selenium WebDriver, Appium, WinAppDriver, and related frameworks.

07

Worked with healthcare claims-processing workflows involving functional testing, user acceptance testing, document sorting, data capture, and EDI-format validation.

08

Used Agile delivery practices with Scrum/Kanban, requirements clarification, defect analysis, code review, mentoring, and cross-functional collaboration.