Expertise

Quality engineering, organized by system risk.

Tools support the work. The real focus is financial integrity, controlled state, useful evidence, and fast delivery feedback.

01

Financial system quality

  • Credit workflows
  • Payments and purchase
  • Refund and settlement
  • Billing and coupons
  • Provider integrations
  • Financial integrity

02

Test automation

  • Robot Framework
  • Python
  • API-first automation
  • Integration automation
  • E2E and UI smoke testing
  • Reusable architecture

03

API & integration

  • REST and Postman
  • Contract and response validation
  • Service virtualization
  • Provider integrations
  • Failure and retry handling

04

Data & state

  • SQL and MySQL
  • MongoDB and Redis
  • Financial-state validation
  • Database test oracles

05

Quality engineering

  • Risk-based test design
  • Exploratory testing
  • Testability
  • Idempotency
  • Retries, callbacks, eventual consistency

06

CI/CD & performance

  • GitLab CI quality gates
  • Git and Linux
  • Docker (working knowledge)
  • Merge-request smoke suites
  • Nightly regression
  • k6 performance baselines

07

Engineering tools

  • Python and JavaScript
  • Jira and Zephyr
  • Scrum delivery
  • Defect investigation
  • ISTQB principles