QA Engineer

Complete build of a B2B SaaS platform for recruitment agencies

• Multi-source job aggregation via ATS APIs
• AI-assisted career page scraping
• Rule-based and AI-assisted matching
• Credit-based monetization model with Stripe integration
• Live in production since July 2026

Tech stack

• NestJS
• React
• PostgreSQL
• pgvector
• Claude AI
• Prisma

• Introduced a unified test strategy to establish quality gates and define test activities for the 'ICaruS' subproject of the Bundeswehr

• Built and implemented manual and automated tests, set up the test infrastructure, and introduced test management tools

• Established KPIs and dashboards to present and distribute test metrics to project team members and stakeholders

• Technologies used: Playwright, TypeScript, REST, PEGA Systems, Jira, HP ALM, GitLab Runner, Kubernetes, Git, VS Code, Angular, Scrum

Temporary employment

• System black-box integration tests (BBIT, IVVQ): Execution of regression, release, acceptance, and compliance tests for safety-critical brake control units in the rail industry
• Software test application & integration: Runtime configuration of software components and libraries, validation of interfaces, configuration dependencies, and component interactions
• Test automation (FEAT framework): Co-development and further development of an automated test framework for test execution, reporting, and result analysis
• Functional safety (SiL4, FuSi): Ensuring compliance with safety requirements, traceability and coverage, as well as standards compliance according to EN50126/28/29
• Test automation for communication components: Configuration and validation of fieldbus (CAN) and Ethernet-based TCMS data communication interfaces (TRDP and CIP)
• Requirements analysis & shift-left (PTC Windchill ALM): Analysis of software and system artifacts to identify gaps, ambiguities, and redundancies early in the SDLC
• Test design & test case development: Derivation of test conditions, coverage strategies, and implementation of data-driven test cases (DDT), including reusable test data fixtures
• CI/CD & automation (Python, PowerShell, Jenkins, SVN): Automation of build, test, and HIL deployment processes as well as integration into CI/CD pipelines
• Test data & configuration management (XML): Maintenance and adaptation of XML test vectors and system configurations with automated integration into test environments
• Non-functional testing: Execution of performance and load tests to assess stability and system behavior
• Agile development & defect management (JIRA, Confluence): Participation in Scrum teams, test coordination, review of test artifacts, as well as defect tracking and root-cause analysis
• Error analysis & debugging (CANoe, CANalyzer): Analysis of errors and message flows across multiple system layers (application to bus)
• Model-based analysis (UML, Enterprise Architect): Specification of SUT/SOW and support for systematic test control
• Process & test documentation: Creation of integration and test documentation according to internal quality and certification requirements

As project manager for the Odoo implementation at a small company, I was responsible for designing, implementing, and training a fully integrated CRM and accounting system. Through structured requirements analysis, precise data migration, and targeted change management, I was able to complete the rollout in just eight weeks. The project led to a significant reduction in manual tasks, faster business processes, and increased real-time transparency.

Main Responsibilities

Requirements analysis and process mapping Configuration of Odoo modules: CRM, Sales, and Accounting Data migration (Excel/CSV → Odoo) and quality control Creation of workflows, automated email rules, and dashboards Conducting training sessions and providing support after go-live Project coordination (budget, schedule, stakeholder communication)

Key Achievements

Full implementation of the Odoo suite within the set timeframe (8 weeks) 30% reduction in accounting time and 25% acceleration of the lead-to-sale flow 100% customer satisfaction after go-live, based on survey results Successful migration of 100% of existing master data without data loss Establishment of a sustainable support infrastructure (3-month post go-live support)

Impact

Improved decision-making through real-time dashboards and automated reports Increased efficiency and cost savings (≈ €8,000/month) Scalability for future growth (additional modules can be integrated seamlessly) Strengthened sales and finance departments through seamless process integration

This summary highlights how I created concrete and measurable value for the company through structured project work, technical expertise, and targeted training.

• Annotate and validate datasets for AI and machine learning systems.
• Review annotation quality against project guidelines and taxonomies.
• Support model development through high-quality data preparation and quality assurance.

• Define the QA strategy and plan for the above mentioned OEMs project.

• Identify applicable processes, methods, and standards to be followed (eg, GS_95014, KGAS, ISO/IEC 15504, ISO 26262, ISO 21434, etc.).

• Plan reviews, audits, and assessments as per the strategy.

• Check whether the project follows defined processes (System, software, mechanical, hardware, testing, change, configuration, problem, risk etc.) as per strategy.

• Provide QA support to software process: software requirement analysis, software architectural design, software detailed design and unit construction, software unit verification, software component verification and integration verification, software verification processes.

• Monitor compliance with organization-wide and project-specific standards.

• Verify that deviations are documented and escalated.

• Review work products (requirements, design docs, test cases, code, reports (MISRA, C0, C1, coding standards), etc.).

• Check compliance with standards, templates, and checklists.

• Ensure that bi-directional traceability exists (e.g., requirements ↔ design ↔ tests).

• Give objective evidence (not influenced by delivery pressure) during assessments.

• Identify non-conformances (process not followed, missing approvals, wrong standard).

• Report deviations and track them until closure.

• Verify that corrective actions are implemented (5why, Ishikawa, 8D, FMEA, FTA, DFM, DRP, PCC, LLBP, PDCA).

• Provide QA status reports to management and project stakeholders.

• Highlight risks related to process non-compliance.

• Deliver objective evidence for assessments/audits (e.g., ASPICE, ISO/IEC 15504, ISO 26262, ISO 21434, ISO_PAS_8800).

• Collect and analyze QA findings.

• Suggest process improvements.

• Support lessons learned activities.

• Achieved ASPICE Level 1 and Level 2 for multiple Audi and Mercedes-Benz projects assessments.

Built and drove the implementation of an ISO 13485-aligned quality management system for a newly established medical-device manufacturer developing products for leading OEM customers. Led RA/QA strategy, QMS architecture, design-control setup, supplier-...

• Migration of financial data from Microsoft Dynamics to SAP ECC for eleven companies, as well as from SAP S/4HANA to SAP ECC for one additional company. At the same time, an interface from an operational leasing tool to SAP S/4HANA had to be tested from a business perspective and aligned in an audit-proof way.

• Lead and plan the migration work packages, create the migration concept for accounts payable and accounts receivable with active customer-vendor integration, set up the reconciliation and QA method, test management, cutover planning, and audit-proof project documentation.

SAP/business focus: SAP S/4HANA, SAP ECC, FI, Business Partner/CVI, Finance Data Migration, Reconciliation, Test Management, Cutover

• Traceable and audit-proof migration of multiple companies with clear reconciliation logic, strong QA evidence, and controlled cutover.

• Ensuring system maturity and operational readiness across the entire lifecycle of automotive products in line with ASPICE and internal quality processes
• Analyzing system behavior and system performance to identify inefficiencies, integration issues, and gaps in diagnostic coverage
• Supporting project milestones in the development cycle by validating system interactions, configurations, and boundary conditions
• Deriving test specifications from software and system requirements
• Implementing test cases with RobotFramework and Python
• Close collaboration with system, software, hardware, and calibration teams to ensure stable and high-performance system behavior before release
• Performing end-to-end system performance analyses using endurance tests and automated evaluation of results with Python and RobotFramework
• Introducing KPI-based system monitoring and performance analysis, as well as building automated evaluation and feedback pipelines
• Organizing and moderating cross-functional debugging and integration workshops
• Successful integration and validation of system and software components for series truck platforms, along with lasting improvements in performance quality, test quality, and integration stability

• Reviewing functional and technical requirements from a testing perspective
• Creating test cases and automated tests to validate requirements
• Performing manual and automated functional, end-to-end, and regression tests
• Documenting test results and tracking defects
• Using models like GPT-4, BERT, and Hugging Face Transformers for automated test case generation, analysis of test results, and improving test coverage, including bias checks and security reviews
• Techs: MS Office, Jira, Zephyr, Confluence, Tosca, stakeholder communication, Agile, Kanban, Scrum, OpenAI API, Hugging Face, PyTorch, LangChain.

Worked full-time across commercial AI training projects evaluating proprietary Large Language Models for quality, factual accuracy, reasoning, safety and instruction following.

Highlights

• Selected for projects requiring native British English language expertise.
• Trusted to review and assess the work of fellow annotators as part of project quality assurance.
• Contributed across a wide range of AI evaluation projects covering reasoning, creative writing, factuality, research, safety, search quality, summarisation and mathematical reasoning.
• Worked successfully in fully remote, asynchronous environments requiring self-management, consistency and rapid adaptation to evolving project guidelines.

Responsibilities

• Evaluated AI-generated responses for factual accuracy, reasoning quality, clarity, instruction following and overall usefulness.
• Performed response ranking, preference ranking and prompt evaluation across a broad range of subject areas.
• Conducted independent research and fact-checking to verify AI-generated content.
• Evaluated outputs for safety, harmfulness, bias and hallucinations using detailed annotation guidelines.
• Produced structured written feedback to improve model quality, consistency and reliability.
• Applied complex evaluation guidelines consistently across multiple concurrent projects while maintaining high standards of accuracy.
• Collaborated effectively using Slack, Google Workspace and other online collaboration tools.

• Design and supervise implementation, testing and rollout of end-to-end processes and system integrations (frontend & backend)
• Integrate with OEMs (Daimler, BMW/MINI) and CPOs (Ionity and others)
• Introduce CPO discount packages with lifecycle processes
• Implement consenting process for GTC & tariff updates and marketing opt-ins via SAP Emarsys
• Automate blocking/unblocking of customers and integrate MS Dynamics CRM and proprietary 3rd level tool
• Coordinate migration and go-live of new fleet portal
• Migrate PSP from Datatrans to Adyen (credit card, PayPal) and integrate SEPA/BACS with Adyen via webhooks
• Support and enhance OpenInformer billing engine: Oracle→PostgreSQL migration, PostgreSQL upgrade, regression test suite, performance troubleshooting, invoice relocation to Azure Storage
• Identify and analyze fraud cases and implement countermeasures
• Provide problem management, incident support and hypercare after major rollouts

• Set up an operational contract information system. This is mainly used as an order management system - for migrating existing contracts as well as for creating and providing new contract bundles.

• Sales agents can use it to order new services, modify existing ones and migrate service types, as well as provide price information to the customer.

• This supports the marketing of new services as well as the replacement of old services for existing customers.

• In addition, existing data is imported, processed (ETL) and provided via services for further use in the portal front end.

• Analysis of the business and technical use cases (workflows, involved processes/systems, communication paths, security requirements)

• Further development / creation of the front-end components (React/JavaScript)

• Design and implementation of the business logic

• Creation of the functional and technical component documentation

• Test execution / test automation (Cypress, test coverage)

• Team size: 8 people

• Technologies: React, JavaScript, Rest (JSon), Yaml, Markdown, MariaDB (SQL), Docker, Swagger, Cypress

• Tools: Webstorm, ReactDeveloperTools, VisualStudioCode, Word, DBeaver, Git/GitLab

• Work management: GitLab

• Platform: Linux

• Build management: GitLab

The "AdBazaar" marketplace platform is a self-contained web application that serves as an online marketplace where users can buy and sell products, with a focus on books.