Ubuntu Experts in Berlin

• Designed, built, and launched an internal event planning web application used by over 100 department leads for a large event, despite having no dedicated testing phase.

• Ensured smooth, failure-free operation during first production use, leading to the tool being adopted for future events.

• Automated catering calculations and related workflows, significantly reducing email communication and manual computation effort for meal planning.

• Managed deployment and hosting on a Linux server using Coolify, including application setup and runtime operations.

• Hired and guided a communication designer on UX while independently owning all technical decisions and implementation.

• Codebase Evaluation & Problem Design: Designed and stress-tested complex software engineering problems against large open-source Python codebases (including pandas), requiring deep context acquisition and architectural understanding to produce well-scoped, realistic problem statements aligned to strict correctness guidelines.
• Agent Failure Analysis: Assessed LLM coding agent solutions for correctness and completeness, identifying meaningful failures across edge case handling, dtype behaviour, and multi-column NaN propagation logic; documented findings with precision for downstream evaluation use.
• Programmatic Test Suite Development: Authored comprehensive pytest suites to programmatically verify agent-generated solutions against defined requirements, with deliberate coverage of boundary conditions and failure modes not caught by naive implementations.
• Containerised Environment Engineering: Built and debugged Docker environments for reproducible agent execution, including git-based repository provisioning, dependency pinning with npm ci, and multi-stage Dockerfile authoring across Linux-based containers.

The MiDAS program aims to integrate Generative AI across the entire BBM organization. My role is to enable the eBike division to adopt and leverage Generative AI by collaborating closely with the MiDAS team in India.

Management:

• Enable the eBike division to adopt GenAI through tailored solutions.
• Collaborate with the MiDAS team in India to design solutions for Generative AI use cases specific to the eBike division.
• Coordinate with the eBike teams to integrate GenAI systems, tools, plugins, and services provided by the MiDAS team.
• Plan roadmaps with eBike and MiDAS India team Product Managers for the delivery and integration of Generative AI solutions.

• IT consulting, coaching, and implementation with a focus on AI

• Implementation of a full-stack application with Angular as the frontend framework and Java as the backend language
• Use of the Swagger OpenAPI specification for REST communication between the frontend and backend applications
• Control of a card printer via the Nexus Card SDK framework
• Design and implementation of card management software with a web interface and a JavaFX module for printer monitoring
• Use of Cucumber tests for test automation and creation of test artifacts to test outside the development environment
• Use of Wireshark for network investigations to analyze the API of a third-party product and to monitor the REST API of the self-developed software

• Projects for federal networks (NdB).
• CR management, EoL change requests, design and documentation according to ITSCM.
• Data center planning.
• Project management and engineering subproject management.
• Software development for virtual server environments according to BSI.

• Configuration and management of routers and switches (e.g., Cisco, HP)
• Design and expansion of networks in corporate environments
• WLAN site surveys and optimization (e.g., with Ekahau, NetSpot)
• Implementation of security policies and access controls

• Developing GitHub Actions/pipelines for automatic application deployment
• Supporting the provisioning of Helm charts for the CI/CD infrastructure
• Rebuilding and migrating a Kubernetes cluster using Rancher
• Creating IaC with Terraform for Kubernetes and additional services (monitoring, databases)
• Deploying a highly available Percona Galera cluster (MySQL)
• Implementing a centralized monitoring and logging infrastructure

• Contributed significantly to enhancing the university’s digital presence through modern WordPress development, performance optimization, and scalable deployment strategies.
• Designed and maintained robust CI/CD pipelines, streamlining deployments across local, staging, and production environments.
• Executed A/B tests on key landing pages, resulting in measurable improvements in user engagement and campaign performance.
• Integrated Google Tag Manager, Google Analytics, and custom tracking solutions to drive data-informed design and content decisions.
• Leveraged AI tools like ChatGPT through advanced prompt engineering to streamline development tasks, debug complex issues, and automate content optimization for SEO and documentation.

• FPGA code conversion from AHDL to Verilog and SystemVerilog (Altera Cyclone)
• IDE: Intel Quartus Prime (Altera)
• Code simulation: QuestaSim
• Timing analysis

• Contributed to over 20 successful projects

• Updating/upgrading Linux servers to new versions
• Installing Trend Micro on Linux servers
• Creating, presenting and maintaining technical documents
• Refactoring tools
• Platforms: SUSE Linux Enterprise Server (SLES) 10, 11, CentOS, RedHat, Windows 10, PowerShell, Bash, Perl, Trend Micro AV, PuTTY, SSH, VMware
• Project language: English

• Designed a platform based on IoT, Azure, Kubernetes, and Postgres for an existing application
• Migrated from "click-ops" and UI-defined CI/CD pipelines to infrastructure-as-code with Terraform, enabling complete redeployment of multiple environments
• Technologies: Terraform, OpenTofu, Azure, Azure DevOps, Kafka, IoT, Kubernetes, Grafana, Prometheus, GitOps, relational databases