AI systems, automation, and process integration.
I build local-first AI systems, automation tools, and integration layers that connect LLMs with real business processes, industrial systems, documents, and structured data.
- Local & Hybrid AI Integration: Developing secure architectures that connect LLMs to SQL databases, local document caches, and Office suites using custom Model Context Protocol (MCP) servers.
- Full-Stack IoT Orchestration: Coordinating complex IoT/IIoT platforms from hardware design and firmware to cloud infrastructure and mobile apps.
- Compliance & QM/QS Automation: Engineering automated systems that parse documentation, calculate risks, and streamline quality assurance process chains.
| Category | Technologies & Tools |
|---|---|
| AI & LLM Systems | LLM runtimes & inference stacks, local model deployment, RAG, agentic workflows, Model Context Protocol, OCR, document AI, computer vision |
| Languages | Python, SQL, AutoIt, PHP, C/C++, JavaScript |
| Web & Application Development | HTML, CSS, frontend, backend, REST APIs |
| Architecture & Systems | Microservices, event-driven systems, local semantic memory |
| IoT & Industrial | MQTT, Modbus, TCP/IP, Bluetooth LE, WLAN, CAE engineering systems |
- Full product compliance and risk management suite covering lifecycle evaluation, reporting, project governance, and automated declarations of conformity.
- Analyzes Bills of Materials (BOM), supplier certificates, test reports, technical documentation, and product specifications.
- Uses LLM-based document analysis to interpret compliance evidence and validate applied standards, directives, and regulations.
- Supports structured decision-making across European and national product compliance requirements.
- Full MCP client and server stack covering tool servers, resource providers, protocol-safe orchestration, local integrations, and structured AI-to-application bridges.
- Includes a reusable MCP client layer used by the multi-persona agent engine to assign role-specific tools, resources, and integration capabilities.
- Connects LLMs natively to local Office environments such as Excel and Word as well as SQL databases.
- Enables schema discovery, FTS5 semantic searching, and structured database operations for AI agents.
- Designed for robust local-first AI workflows with clear tool boundaries, reusable server components, and secure integration patterns.
- Multi-persona agent engine with template-based agent definitions, flexible skills, and role-specific execution profiles.
- Supports individual LLM settings per agent, including model selection, runtime configuration, and task-specific behavior tuning.
- Supports individual MCP capabilities per agent, allowing each agent to access only the tools, resources, and integrations required for its role.
- Includes highly specialized agents for document analysis and validation of applied standards, directives, and regulations against current compliance requirements.
- Manages concurrent AI agents equipped with local memory and RAG layers.
- Implements multiple safety layers for autonomous execution, including scoped tool access, validation gates, escalation rules, and controlled action boundaries.
- Designed for autonomous 24/7 operation with Human-in-the-Loop validation gates for critical decisions and controlled escalation.
- Formal background in communication electronics and information technology, combined with long-term experience in product development, product management, quality management, compliance, and software-driven process automation.
- Designing and hosting local model architectures for secure corporate data processing.
- Building advanced retrieval workflows and semantic project indexing over local filesystem directories.
- Coordinating large-scale IoT system developments spanning custom hardware, firmware, cloud endpoints, mobile app synchronization, and serial manufacturing.
- Working with sensor protocols and radio communications including MQTT, Modbus, Bluetooth LE, and WLAN.
- Automating QM/QS process chains, digital tracking workflows, and management dashboard generation.
- Building document analysis pipelines for certificates, test reports, and compliance declarations.
- Trained and supported CAE users on customer systems, including practical workflows, system usage, and process-oriented application of engineering tools.
- Created electrical schematics and circuit documentation directly within CAE environments.
- Analyzed plant and machinery engineering schematics to identify rationalization and software automation potential.
- Customized CAE/CAD scripting workflows and system tools.