Software Engineer & Consultant
I'm a
Full Stack Developer focused on .NET, Microservices, Cloud Architectures, and AI-driven development.
Already during my studies, I intensively dealt with the .NET stack to realize various projects. After my graduation, I used and improved this knowledge in the logistics industry and the e-commerce market.
In various projects, the focus of my work has been primarily on interfaces between systems. Furthermore, apps for Android and iOS as well as web applications were developed for customers.
Currently, my work mainly involves developing microservices with Azure Service Bus, REST APIs based on .NET Core, as well as DevOps with Kubernetes, Azure DevOps, and Terraform.
A growing focus of my work is AI-driven development: a structured engineering approach with central agent rules, domain-specific context, security guardrails, and a reproducible flow of context engineering, implementation, and validation.
Location
Witten, Germany
Degree
B.Sc. Medical Informatics
Tech Stack
.NET / C#
Experience
9+ Years
Phone
+49 151 52152892
In past projects, I have used various technologies and tech stacks. The focus is definitely on the .NET stack.
My approach combines clear context, explicit rules, validated implementation, and clean documentation into a reproducible development mode. AI is a deliberate part of a robust engineering process — precisely guided, controllable, and built to scale.
Building the right context instead of dumping in random information. A central rule base, local domain guides, and deliberately loaded references significantly reduce hallucinations.
Architecture, coding conventions, definition of done, and security boundaries are formalized as agent rules. AI output stays consistent with the existing codebase.
AI is treated as an operational agent with clear boundaries, responsibilities, and escalation points. Strategic and domain decisions stay with the human.
AI reinforces existing patterns, domain boundaries, and technical standards instead of undermining them. Multi-agent compatible across GitHub Copilot, JetBrains AI, Claude Code, and other tools.
Hard guardrails around secrets, sensitive data, and security-critical actions. Validation-driven implementation rather than blind trust in model output.
Context buildup, implementation, validation, and documentation interlock. Not the single good answer matters — but a mode that delivers good results repeatably.
Four steps that turn every AI interaction into a verifiable engineering result.
Map every task to the right domain and technical boundary before any code is written.
Central rules, local guides, and referenced code are read deliberately — not guessed from generic model knowledge.
Established patterns like Result<T>, FluentValidation, DI, and Mapster guide implementation.
Builds, tests, behavior reviews, and downstream effects on indexes, policies, and APIs are part of the loop.
Good AI usage in software engineering doesn't start with a good prompt — it starts with a good system. That's exactly where my focus lies.
I have extensive experience as a software developer with a focus on the .NET stack. My career spans across various industries, including logistics and e-commerce.
VELO DE VILLE (AT Zweirad GmbH)
Freelancer, Witten
Parfümerie Douglas, Hagen
proLOGiT GmbH, Dortmund
Fachhochschule Dortmund
Learned C# / .NET in various practical projects. Additionally NoSQL databases (MongoDB, RavenDB, OrientDB) and agile development methods like SCRUM and Kanban.
Fachhochschule Dortmund
Studies through cooperation with Robert-Bosch-Berufskolleg. Changed to Medical Informatics in 2014.
Robert-Bosch-Berufskolleg Dortmund
School-based apprenticeship with entrance qualification for university. Focus: Java, network technology, MySQL.
With my extensive experience, I am available for consultation to identify the right steps for successful project implementation and to implement them professionally.
Analysis & development of web applications, interfaces, and software modules based on .NET. New implementations or optimization of existing processes.
Providing important company data at the right point in your process. Intelligent data management for new business areas.
Building OAuth 2.0 / OpenID Connect servers. Central login via an Identity Management System / Single-Sign-on (SSO).
Targeted data preparation and documentation during system transitions. Faster value generation while improving data quality.
Optimization of existing applications, processes, and databases. Professional development methods, tests, and documentation.
Consulting and rollout of AI-driven development processes — from central agent rules to context engineering, instruction design, and production-safe usage.
If you have any questions or project requests, please feel free to contact me.
Finefrauweg 11
58455 Witten
Germany
+49 160 95852230
Username: fabianb_1.23
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