Christian Blank / Ettlingen, Germany
About me
Senior Software Engineer & AI Solutions Architect
Today, my focus is on AI integration, agentic systems and software teams’ development practices. At Augmentry, I work on AI and software projects from clarifying requirements through architecture and implementation to rollout.
I combine hands-on engineering with software architecture and team leadership. For a B2B invoicing platform in the UAE, I assembled and led the team and took responsibility for the entire development process, from planning and stakeholder alignment through architecture and implementation to delivery. Together, we integrated OCR, process automation and a digital assistant based on a fine-tuned open-weight LLM.
This builds on my software experience since 2013: SaaS products, industrial data processing and connected devices. At SEW-EURODRIVE, I worked on a predictive maintenance platform using neural networks; at Bruker, I contribute to hardware interfaces and systems integration. Today, I also develop my own tools for coding agents and share practical methods through technical writing and my ongoing training collaboration with ObviousWorks.
My projects
01
Work experience
06.2023 to Present
Bruker AG
Senior Software Engineer
At Bruker, I develop components for hardware interfaces, systems integration and real-time data processing in networked NIR instrument software. My work connects device communication with measurement workflows, using React, Electron and C++.
06.2026 to Present
Augmentry
Founder
As the founder of Augmentry, I work with teams and stakeholders to turn business requirements into AI and software applications. I cover discovery, architecture, implementation and rollout. My focus includes agentic systems, retrieval-augmented generation, self-hosted language models and their integration into existing applications.
07.2022 to Present
Blank IT Solutions & Consulting
Freelance IT Consultant
I advise companies on software architecture, systems integration and technical modernization. I clarify requirements, assess existing systems and develop practical plans for implementation and production infrastructure.
09.2019 to 03.2023
SEW-EURODRIVE GmbH & Co KG
Full-stack developer
At SEW-EURODRIVE, I developed components for data acquisition, analysis logic and the application used by maintenance teams. The predictive maintenance platform connected vibration analysis and neural networks for failure detection with existing production processes.
06.2013 to 08.2019
Echobot (now Leadfeeder)
Full-stack developer
At Echobot, my work spanned application development, machine learning and software operations. I developed CRM and contract software, alongside components for web crawling and online content analysis. As part of the engineering team, I played a key role in training a neural network to classify text and identify sales-relevant signals in company information. My work later expanded to containerized services, CI/CD, infrastructure as code and monitoring.
02
Skills and technologies
My focus connects AI engineering, AI integration and networked systems. The project examples show my contribution; the technology index below records my skills.
Ratings reflect my practical experience.
Agentic AI & agentic development
I develop tools for coding agents and deliver training with ObviousWorks as part of an ongoing collaboration. I teach practical methods for context engineering, permissions and work in existing codebases. My skills also include agent orchestration and multi-agent systems.
Training and knowledge transferAI integration & automation
I connect AI capabilities with business applications, from architecture to implementation. For a B2B invoicing platform, I led the team that implemented OCR, process automation and a digital assistant based on a fine-tuned open-weight LLM.
AI integration in the invoicing platformLLM applications & knowledge systems
My skills include retrieval-augmented generation (RAG), embeddings, reranking and vector databases such as pgvector and Qdrant. These methods connect language models with relevant data and knowledge sources.
Methods and technologiesModel training & machine learning
At Echobot (now Leadfeeder), my engineering work connected web crawling and machine learning. As part of the engineering team, I played a key role in training a neural network for text classification and the detection of sales-relevant company signals. Further ML experience comes from predictive maintenance at SEW-EURODRIVE. My fine-tuning skills include QLoRA and Unsloth.
Model training for lead detectionAI infrastructure & connected systems
My skills cover self-hosted LLMs, inference with vLLM and Ollama, LLM evaluation and monitoring. My work on industrial software provides practical experience with hardware interfaces and networked applications.
Experience with connected devicesAI Engineering & Agentic Development
Agents, RAG, fine-tuning, inference and evaluation, alongside tools for AI-assisted development.
- Claude CodeExpert knowledge5/5
- OpenCodeExpert knowledge5/5
- Context EngineeringExpert knowledge5/5
- Agentic DevelopmentExpert knowledge5/5
- Prompt EngineeringHighly experienced4/5
- LiteLLMHighly experienced4/5
- MCPHighly experienced4/5
- LM StudioHighly experienced4/5
- Llama.cppAdvanced3/5
- QdrantAdvanced3/5
- vLLMAdvanced3/5
- OllamaHighly experienced4/5
- OpenRouterHighly experienced4/5
- Inference OptimizationAdvanced3/5
- PineconeAdvanced3/5
- pgvectorHighly experienced4/5
- RAGHighly experienced4/5
- Embeddings & RerankingAdvanced3/5
- Hugging FaceAdvanced3/5
- HermesAdvanced3/5
- QLoRAAdvanced3/5
- UnslothAdvanced3/5
- TTSAdvanced3/5
- STTAdvanced3/5
- LiveKitAdvanced3/5
- WisprFlowHighly experienced4/5
- CodexHighly experienced4/5
- AiderAdvanced3/5
- ClineAdvanced3/5
- Agent SkillsHighly experienced4/5
- Multi-Agent SystemsHighly experienced4/5
- Agent OrchestrationHighly experienced4/5
- Spec KitAdvanced3/5
- OpenSpecAdvanced3/5
- Guardrails AIAdvanced3/5
- LLM EvalsAdvanced3/5
- LangfuseAdvanced3/5
- LRMHighly experienced4/5
Languages
Languages I use across product development, automation, and integration.
- TypeScriptExpert knowledge5/5
- JavaScriptExpert knowledge5/5
- PHPHighly experienced4/5
- JavaAdvanced3/5
- C#Advanced3/5
- C++Basic knowledge2/5
- PythonAdvanced3/5
- HTML5Expert knowledge5/5
- CSS3Highly experienced4/5
- SCSSHighly experienced4/5
- LESSAdvanced3/5
- SQLHighly experienced4/5
- BashHighly experienced4/5
- JSON/XMLExpert knowledge5/5
Frameworks & Libraries
Frameworks for web interfaces, APIs, and desktop applications.
- ReactExpert knowledge5/5
- Next.jsAdvanced3/5
- AngularHighly experienced4/5
- ElectronHighly experienced4/5
- AngularJSHighly experienced4/5
- Node.jsHighly experienced4/5
- LaravelAdvanced3/5
- SymfonyBasic knowledge2/5
- .NETAdvanced3/5
- React NativeHighly experienced4/5
- IonicAdvanced3/5
- CapacitorAdvanced3/5
- PhoneGapBasic knowledge2/5
- jQueryHighly experienced4/5
- BootstrapHighly experienced4/5
- ReduxHighly experienced4/5
- TailwindCSSExpert knowledge5/5
- shadcn/uiHighly experienced4/5
- ZendFrameworkAdvanced3/5
- ExpressHighly experienced4/5
- AstroAdvanced3/5
Methodology & Architecture
Methods for clear system boundaries, durable decisions, and maintainable code.
- Domain-Driven DesignHighly experienced4/5
- Deep ModulesHighly experienced4/5
- Context-Driven ArchitectureHighly experienced4/5
- Clean ArchitectureHighly experienced4/5
- Modular MonolithHighly experienced4/5
- Test-Driven DevelopmentHighly experienced4/5
- Bounded ContextsHighly experienced4/5
- Architecture Decision RecordsHighly experienced4/5
- MonorepoHighly experienced4/5
- Behavior-Driven DevelopmentAdvanced3/5
- Trunk-Based DevelopmentAdvanced3/5
- Hexagonal ArchitectureAdvanced3/5
- Event-Driven ArchitectureAdvanced3/5
- CQRSAdvanced3/5
- Event SourcingAdvanced3/5
- Event StormingAdvanced3/5
- Domain StorytellingAdvanced3/5
- C4 ModelAdvanced3/5
- Vertical Slice ArchitectureAdvanced3/5
- Contract TestingAdvanced3/5
Databases & ORMs
Relational and document storage for product and operational data.
- PostgreSQLHighly experienced4/5
- MongoDBHighly experienced4/5
- SQLiteHighly experienced4/5
- MySQLExpert knowledge5/5
- MariaDBHighly experienced4/5
- Doctrine ORMAdvanced3/5
- DrizzleAdvanced3/5
- PrismaAdvanced3/5
- RedisAdvanced3/5
- InfluxDBAdvanced3/5
- ElasticsearchAdvanced3/5
- Microsoft SQLAdvanced3/5
Tools & Technologies
Tools for development, delivery, infrastructure, and operations.
- DockerHighly experienced4/5
- NginxAdvanced3/5
- ApacheAdvanced3/5
- VS CodeExpert knowledge5/5
- PostmanHighly experienced4/5
- GitExpert knowledge5/5
- SVNAdvanced3/5
- MercurialBasic knowledge2/5
- GitHubExpert knowledge5/5
- GitLabHighly experienced4/5
- GitHub ActionsHighly experienced4/5
- npmHighly experienced4/5
- yarnAdvanced3/5
- pnpmAdvanced3/5
- ESLintHighly experienced4/5
- PrettierHighly experienced4/5
- PHPUnitAdvanced3/5
- GruntAdvanced3/5
- ELK StackAdvanced3/5
- LogstashAdvanced3/5
- GrafanaAdvanced3/5
- VirtualBoxHighly experienced4/5
- vSphereAdvanced3/5
- ESXiAdvanced3/5
- ProxmoxExpert knowledge5/5
- AzureAdvanced3/5
- VercelHighly experienced4/5
- Apache SolrBasic knowledge2/5
- Squid ProxyBasic knowledge2/5
- Active DirectoryAdvanced3/5
- ExchangeAdvanced3/5
- DHCPAdvanced3/5
- DNSHighly experienced4/5
- Bind9Basic knowledge2/5
- SambaAdvanced3/5
- MS DynamicsBasic knowledge2/5
- Azure DevOpsHighly experienced4/5
- JenkinsAdvanced3/5
- AWSBasic knowledge2/5
- JestHighly experienced4/5
- VitestHighly experienced4/5
- StorybookAdvanced3/5
- ViteExpert knowledge5/5
- RollupAdvanced3/5
- WebpackHighly experienced4/5
- KubernetesBasic knowledge2/5
Operating Systems
Platforms for development, server operations, and industrial systems.
- WindowsExpert knowledge5/5
- Windows ServerHighly experienced4/5
- LinuxHighly experienced4/5
- DebianExpert knowledge5/5
- UbuntuHighly experienced4/5
- AlpineAdvanced3/5
- OpenSUSEBasic knowledge2/5
- ArchBasic knowledge2/5
03 / LinkedIn
Perspectives from practice
On LinkedIn, I discuss the engineering behind agentic systems: context, interfaces, permissions and the work involved in production use.
Agents as infrastructure
I discuss how context, permissions, interfaces and observability shape the architecture of agentic systems.
Read my posts on LinkedInMCP in production
I examine how agents access tools and data through MCP, with a focus on interface contracts, permissions and handling failures.
Read my posts on LinkedInBuilding agent applications
I discuss the engineering work involved in taking an agent application into production: orchestration, context, evaluation and monitoring.
Read my posts on LinkedInLet’s talk
Would you like to discuss an engineering role or a project together? Tell me about the work and technical challenges you have in mind.
Let’s talk