Cloudflare Experts in Germany

• Acquires new B2B customers for an AI SaaS startup in the public tendering space and books product demos with IT decision-makers.
• Qualifies target customers based on a defined ideal customer profile, including discovery, needs analysis, and objection handling.
• Builds domain knowledge in public procurement (EVB-IT, German and EU tender portals) for technical discussions at eye level.

agentic-engineer.online is my publicly testable live demo and at the same time the platform where I show my work. Originally created as a recruitment trial task, I have since continued to run it as my own demo, learning, and product project — on a Hetzner VPS behind a Cloudflare tunnel, through a multi-stage AI-orchestrated deploy pipeline with snapshot rollback. If a deploy step breaks, the system falls back to the last clean snapshot, the script is adjusted, the test repeated — empirical, test-driven, without hand tuning.

• Technically behind it: Python and FastAPI, an OpenRouter model cascade, SQLite persistence, and Cloudflare edge tuning.
• I am the developer and the strictest customer of my own AI work in one person — what started as a prototype has become a tool I use every day and against which I test my own products.

• Self-hosted table tennis equipment platform.
• Development of a custom “Racket Builder” that uses a co-evolutionary genetic algorithm to identify, evaluate, and recommend the optimal combinations of racket blades and rubbers based on physics heuristics and player data within a search space of over 4 billion combinations.
• Development of a custom fully automated web crawler to capture equipment specifications, integrating an automated pipeline for image normalization as well as data harmonization via DeepSeek.
• Cloudflare Edge Workers written in Rust to perform low-latency data searches and offload computationally intensive simulations from the main server.
• High performance and accessibility standards across a large Nuxt 4 codebase achieving 95–100/100/100 Lighthouse scores.

• IT consulting
• Power Platform & Databricks
• AI software development (custom software)
• Commercial responsibility for the company

• Designed and implemented a Python-based ETL pipeline with the Dagster framework to transform raw energy data from heterogeneous sources using InfluxDB and visualizations in Grafana
• Defined time-based and dependency-based jobs
• Deployed to managed Kubernetes clusters using Helm
• Integrated InfluxDB Cloud
• Prepared data for use in Grafana, including cleaning, normalization, and time-based resampling in Python
• Developed dashboards and visualizations in Grafana
• Developed unit tests with mocking using pytest
• Set up a CI/CD pipeline in GitLab

Technologies: Python, Dagster, InfluxDB, Grafana, pandas, pytest, REST, CI/CD, GitLab, Container, Kubernetes, Helm, Docker, Cloud

• Implementing cross-industry applications with LLMs
• Developing cloud infrastructure for clients
• Implemented end-to-end data pipeline to deploy models in real time
• Managed overall IT system administration and desktop support

The combined experience from recent project years shows that two hearts beat in my chest: on the one hand, working in and for organizations to develop new, innovative products, ideally as part of a digitization strategy or business development – and the closely related change and transformation process expertise as part of holistic organizational consulting. For this, I have established the Change Bakery and Product Validators offerings.

On the other hand, my heart and mind are fired up to find my own products, evaluate markets and potentials, and test ideas. Currently, I am proactively and part-time, in addition to ongoing projects, working on a product idea in the mental health area and have founded Therapymate.

• Technical program ownership for the IPv6 migration at DRV RP and DRV BW, with a focus on migration planning, execution structure, and cross-functional technical coordination.
• Designed and implemented an operational control model with dashboard, action board, KPI portfolio, risk register, and decision index to translate technical topics into structured delivery artifacts.
• Coordinated technical groundwork for architecture and rollout across IPv6 addressing, segmentation, dual-stack target design, test-lab planning, and cross-team dependencies.
• Supported security and compliance-related requirements in the context of BSI, NIS2, and critical infrastructure, translating them into traceable evidence, risks, and management reporting.
• Achievement: Established a reusable intake-to-governance workflow for systematically capturing technical actions, risks, open issues, and evidence requirements.
• Achievement: Created an operational baseline for technical program execution with measurable KPIs, clear ownership, and transparent decision support.

Volunteer helper at the Johanniter in medical services and disaster response, highlighting teamwork and coordination even in times of crisis.

Software service provider for AI solutions, automation, and custom software.

Team: built from 2 to 10 developers, 8 direct reports, partly remote · Portfolio: 6 parallel projects (€25k–€250k), scaling > €1M

• Ensured delivery capability for 6 parallel customer projects: role model, capacity planning (510–660 productive person-days/year), hiring roadmap with €380k–€440k/year personnel budget
• Established SDLC framework from scratch in under 6 months: REQ/SPEC structure, V-model gates, GitHub Issues as specification, Definition of Done, release process; consistent, auditable development process across all customer projects
• Prepared large program (3,000–4,000 person-days over 18 months) for decision readiness: AI-native industry platform for the construction sector; scoping, team profile for 8–10 developers, phase 0 budget €390k
• Designed and introduced self-hosted AI platform: vLLM, LiteLLM, Qdrant, Supabase; agent architecture, MCP integration, OCR pipelines; prepared GPU investment with break-even model (month 15–16)
• Systematized presales end to end: lead qualification with maturity scoring, discovery workshops, own sizing model, costing with loaded hourly rates, structured handover to development
• Tangibly improved the security level of a customer platform: penetration test incl. re-verification of all findings

Overall architecture and technical implementation of a Wix-based subscription frontend with Stripe payments and connection to Axxessio's SaaS backend. Implemented Stripe Checkout, subscriptions, webhooks, and transaction logging end to end. Customer data and contract information transferred automatically via a JWT-protected REST API. Designed and documented proxy and security architecture for IP whitelisting, HMAC, and operations, and aligned it with the backend team.

Stack: Wix Studio, Wix Velo, JavaScript, Stripe, Webhooks, JWT, HMAC, REST API, Hetzner, Cloudflare

• Ongoing support and further development.

• Support of firewalls (Securepoint)
• Operation and maintenance of the client-server infrastructure (Windows)
• Operation and patching of IoT devices in the hazard management system (cameras, Web IOS, IP serial converters)
• Support with the integration of security technology into existing IT infrastructures
• Planning and execution of network segmentation and separation
• Transfer and implementation of solutions to other plants
• Tools used: Wireshark, Network Service Manager, PRTG, Cisco Catalyst, Nexus, HP Service Manager, FNT/Command Manager Console, ServiceNow, Confluence, Active Directory, Wingard, Securepoint FW

• Build a scalable multi-region backend service in AWS to serve remote desktop virtual machines for scientific analysis
• Stack: AWS, GitHub, Terraform, Python, Rust
• Built and defined the core infrastructure of the backend system
• Defined and coded the virtual machines provisioning supporting Ubuntu and Rocky Linux desktop setups
• Programmed the API service running in ECS to manage virtual machines and build custom Docker images for users