Tkinter Experts in Germany

AI-driven automation of purchasing on a printing company's website, including selecting delivery times, order options, ordering, payment, and uploading print data from the Lumiz Cloud.

AI Readiness - Part 3: Creating an E-Book on the Use of AI in Software Testing

• Designing and creating an e-book on the meaningful and safe use of AI in software testing from the perspective of an experienced test expert.
• Using generative AI (ChatGPT, Perplexity Pro) as a sparring partner for structuring, wording suggestions and variant creation, with final technical review and approval of all content based on my own expertise.
• Developing practical opportunities and risks of AI in testing, with a special focus on collaboration between testers and AI instead of "tester vs. AI".
• Title: "11 Strong Reasons: Dream Team Instead of Rivals - Testers and AI Are Unbeatable Together"
• Subtitle: "How humans and machines form the perfect team in software testing—and why pure AI testing is risky."
• Planned use of the e-book as a basis for workshops, client presentations, or internal training.
• Technology: Generative AI, ChatGPT, Perplexity Pro, Microsoft Word, Adobe Acrobat, many years of professional testing experience, common sense.

• Analysis and further development of the security architecture.
• Design and development of Splunk apps and technical add-ons (TAs).
• Development and implementation of security use cases in the Splunk SIEM.
• Creation and maintenance of incident response playbooks in Cortex XSOAR.
• Support of technical proof-of-concepts to assess new detection technologies.
• Lifecycle management and operational support for Splunk and Cribl systems.
• Deployment and scaling of Splunk indexers in hybrid data center environments.
• Maintenance, update planning, and optimization of Cribl Stream & Edge for log ingestion and data routing.
• Creation of dashboards and reports to visualize security posture and system availability.
• Technical analysis to assess network topologies and data flows.
• Integration of new data sources via Cribl Stream/Edge and heavy forwarders in cloud and on-prem environments.
• Integration of external security components such as Cortex XSOAR (SOAR) and user behavior analytics (UBA).
• Implementation of complex correlation rules in Splunk Enterprise Security (ES).
• Connection of external ticketing systems via mail gateways and REST APIs.
• Automated deployment of use cases, dashboards, and detection rules via Git and Ansible.

• Tested passenger car opening handle at system level integrating hardware, software and mechanics
• Built and provided complete test equipment for system testers using Arduino boards, Saleae Logic analyser, oscilloscope, multimeter, RLC meter, programmable power supplies and function generators
• Developed system testing concepts and constructed manual system test bench
• Supported system testers with hardware and software tools
• Products: BMW XNF, Rolls Royce, Audi eRing, JLR (Jaguar-Land-Rover)

• Developed Python applications for data extraction and filtering using Tkinter and Bitbucket
• Digitized a manual process, making workflows about 20% faster and more efficient
• Collaborated with departments to implement process automation projects

• Applied pose estimation frameworks on thermal images using infrared cameras to enhance temperature analysis and thermal comfort evaluation.
• Performed CFD simulations to analyze and visualize airflow and temperature distribution in enclosed spaces, providing data-driven insights for improving HVAC system efficiency.
• Used transfer learning to adapt pre-trained deep learning models for different tasks and datasets, improving accuracy and reducing training time.
• Handled large datasets and applied visualization techniques such as boxplots, scatter plots, and other graphical tools to identify trends, detect anomalies, and validate data accuracy.
• Built machine learning predictive models such as linear regression, logistic regression, and classification models.
• Containerized ML models and data pipelines with Docker and orchestrated scalable training and inference workflows using Kubernetes.

• Created concepts and architecture for ECU diagnostics over CAN-Bus using UDS, PDX, ODX and safety paradigms
• Designed system deployment for EMS and documented using UML, Draw.io, MS Word, MS Visio and Confluence
• Developed process flows for development, planning, logistics, test & diagnostics in Scrum with Jira and MS Planner
• Communicated across multiple customer teams, conducted knowledge transfer

• ROS/ROS2
• Programming Language: Python, C++