Robot Framework Experts in Germany

Development and further development of an internal platform for managing and providing technical resources, virtual machines, and infrastructure services. The platform supports self-service processes and covers functions that are conceptually comparable to cloud management solutions like Azure or AWS.

• Responsible involvement in the design, development, and implementation of new backend and frontend features
• Hands-on development with Java, Spring Boot, Python, and Angular
• Implementation of REST interfaces, business logic, validations, and integrations into existing system landscapes
• Further development of modern web interfaces with Angular, including connection to backend services
• Participation in architecture and design decisions within the team, especially with regard to scalability, maintainability, and clean interfaces
• Containerization and deployment of applications with Docker, Kubernetes, and Helm
• Support with CI/CD processes and deployment to Kubernetes-based environments
• Work in the environment of vSphere, Broadcom, GitLab CI/CD, ArgoCD, Maven, npm, and NuGet
• Close collaboration with developers, business teams, DevOps, and other technical stakeholders
• Analysis of technical requirements, deriving suitable solutions, and independent implementation in an agile team
• Use of GitHub Copilot to support code generation, refactoring, test case creation, and technical documentation

Methods/ tools/ technologies: Languages & frameworks: Java (21), Spring Boot (4.x), Python, Angular, Robot Framework, Kubernetes, Helm Persistence: PostgreSQL, MongoDB, Hibernate, Liquibase Architecture & communication: REST, gRPC, GraphQL, Apache Kafka, OpenAPI, Microservices, Event Driven, Domain Driven Design Cloud & infrastructure: Terraform, Docker, Rancher, Helm, Ansible Security: OAuth2, MS (Entra ID), web security, Keycloak (extensions for detailed group rights) DevOps: GitLab CI/CD, Ansible, Maven, Gradle, Grafana, Prometheus, Git, GitHub Copilot Testing & QM: JUnit, Robot Framework, automated component and integration tests, E2E tests with Playwright, Testcontainers, EasyMock Methodology & approach: Kanban, JIRA, Confluence, Clean Code

• Architected and deployed end-to-end machine learning pipelines across classification and prediction datasets, ensuring robustness and reproducibility through MLOps best practices.
• Contributed directly to LLM model output accuracy improvement by designing and engineering specialised prompts grounded in end-to-end ML and SciML pipeline logic.
• Developed training data for large language models by formulating coding problems that models could not resolve and subsequently documenting the correct solutions.

• Project: Thermomix Online Mock
• Manual execution of functional tests
• Implementation of automated end-to-end tests
• Execution of regression tests and analysis of results
• Further development of the QA website server using Express.js, Handlebars and Node.js
• Further development of the test environment
• Technologies: Agile software development Scrum, Robot Framework, Python, JavaScript, Git (GitLab), VS Code, Jira, Confluence, Express.js, Handlebars, Phoenix/Elixir

• Adding/creating test specifications
• Performing regression tests
• Performing release tests
• Analyzing Jira tickets
• Identifying software defects and fixing them with C#

• ▶ Built real-time voice assistant (STT → LLM → TTS pipeline) benchmarking and evaluating multiple STT providers including faster-whisper and Azure Speech. achieved sub-3s latency, Groq API (Llama 3) with multi-turn memory - directly handling edge cases in dictation, names and passcode recognition.

• Developed and deployed microservices in Kotlin and Spring Boot, integrated AWS Secrets Manager to secure credentials and decreased network calls using Spring cache.
• Refactored Kafka consumer using Spring Kafka with semaphore-based backpressure to cap records and keep heap memory stable under spikes; switched to batch upserts to cut down on database invocations; added Testcontainers integration tests for Kafka and database to pave the way for future changes.
• Automated the financial reconciliation workflow in Spring Boot (Kotlin) using Spring Scheduler, transactional boundaries, JPA/Hibernate on MySQL, and Flyway migrations, saving the accounts team 16+ hours per week.
• Designed and dockerized payments end-to-end test framework in Robot (Python) with reusable keyword libraries and profiles; integrated with GitLab CI (JaCoCo XML and HTML reports) to accelerate releases and lift code coverage to 80%.
• Implemented end-to-end observability on Datadog by instrumenting services with Datadog APM, correlating metrics and logs, provisioning dashboards, and creating monitors with burn-rate alerts and anomalies to harden reliability and give stakeholders clear visibility.

• TANGe is a DFS project to introduce a modern digital tower system that is meant to make airport air traffic handling safer, more efficient, and future-ready. My current task in this project is the development of the Runway SID Assignment Service, which is responsible for assigning departure routes from an airport. SID - Standard Instrument Departure stands for a standardized departure route.

Software: Java, microservices, Kafka, Robot Framework, Gitlab, Kubernetes, Docker

• 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

• AI-assisted creation of test cases and test data
• Creation of test cases based on requirements
• Execution of manual tests
• Defect documentation, retesting and tracking

Technologies & Tools: SCRUM, Jira, Confluence, Zephyr Scale

Seqnaut and Sycosm (WIP) – Embedded Audio DSP & Synthesis Platform

• Embedded audio DSP framework — synthesizers, effects, drum machines; modular audio graph
• Sequencing: PianoRoll, StepGrid, MasterClock; 8-voice polyphonic synth; CLI + OSC
• Transient Detector — dual-envelope adaptive threshold, guitar attack detection
• Hardware: Teensy 4.1, custom AFE design tapping BOSS GX-100; MIDI FX integration

Label: C++23, C, Python, CMake, FreeRTOS, Teensy 4.1 (ARM Cortex-M7), Teensy Audio (Stoffregen), DaisySP, I2S/SAI, OSC, MIDI

Project goal: Carrying out system tests and validating industrial communication and control systems, including requirements definition and verification.

Responsibilities:

• Test planning, test execution
• Test strategy, test cases, and test specifications
• Requirements analysis
• Ensuring traceability between requirements, test cases, and defects
• Carrying out regression and integration tests
• Defect analysis
• Simulation and validation
• NetSniffer Wireshark
• Supporting test automation (Python, CI/CD)
• Reporting
• Stakeholder coordination and agile collaboration (Scrum / SAFe / Kanban)
• V-Model
• CI/CD automation with Python, Groovy, and frameworks (Selenium, PyTest)

Technologies:: CAN, Modbus, Ethernet, PLC, PROFINET, Codebeamer ALM, Scrum, SAFe, MS Teams, Git, CI/CD with GitLab CI and TeamCity, Windows Batch, FAS, Wireshark, Python, Enterprise Architect (EA), AI tools (e.g. ChatGPT, Microsoft Copilot), VS Code, Tia Portal, SCL, Python (Selenium, PyTest)

• Implementing automated testing strategies reduced testing time by an average of 40 %
• Improved the error detection rate by 20 %

• Project coordination: Managed timelines, deliverables, change requests (CRs) and resources, combining maturity gate reviews and program increments.
• Stakeholder management: Building strong relationships with both internal teams and external customers.
• BMW programs: BCP, BDC, MIC Next, IDC Evo, covering functional validation (including functional safety), product validation, homologation and compliance.
• Risk management: Proactively identified and resolved critical risks in software/product releases through cross-functional coordination to keep projects on track.

• Analysis and optimization of business processes in financial accounting
• Customizing in SAP FI (e.g. company codes, chart of accounts, payments)
• Integration with other modules such as CO, MM, SD
• Consulting on legal requirements (e.g. GoBD, UStG)
• Support with month-end and year-end closing
• Creation of test plans (system test, integration test, UAT)
• Definition of test cases (e.g. postings, payment runs, dunning runs)
• Selection of suitable test data and scenarios
• Manual testing of posting processes (e.g. customer invoice, payment run)
• Validation of automatic postings (e.g. for MM credit memo)
• Checking interfaces (e.g. to subsystems or non-SAP solutions)
• Documentation of defects in the test tool (e.g. Jira, ALM)
• Analysis and feedback to developers or the customizing team
• Retest after bug fixes
• E2E tests with SAP Solution Manager (SOLMAN)
• Use of tools such as SAP CBTA or Micro Focus UFT