π Systems Engineer | π M.Sc. in Strategic Information Management
I design information systems that transform complex business knowledge into implementable software solutions.
My work focuses on business systems analysis, information and process modeling, functional solution design, and AI-enabled knowledge systems. I specialize in translating regulations, operational processes, and domain expertise into structured specifications that can be implemented consistently across different technologies.
Over the last 11+ years I have worked at the intersection of business, data, and technology, designing functional models, business rules, system integrations, SQL-based analytical solutions, and AI-powered knowledge management tools.
My current projects explore how RAG, Text-to-SQL, automation, and specification-driven development can improve software quality, reduce ambiguity, and accelerate solution design.
I believe that software quality depends more on the quality of the underlying specification than on the implementation technology. My projects follow a specification-first approach:
- Understand the domain
- Model the information
- Define business rules
- Design the functional behavior
- Validate the specification
- Use AI to accelerate implementation and testing This is the principle behind my work in information systems, business analysis, and AI-enabled knowledge management.
Iβm particularly interested in how organizations can preserve and operationalize knowledge through information systems and AI. Current areas of exploration:
- Specification-Driven Development
- Knowledge modeling for AI systems
- RAG architectures for organizational memory
- AI-assisted business systems analysis
- Information quality and decision-support systems
Designing knowledge systems for organizations
Designed and built a modular knowledge management platform that transforms organizational documentation and structured databases into a unified natural-language query system.
My role: knowledge modeling, information architecture, RAG design, Text-to-SQL integration, evaluation framework design, and specification-driven development.
Key focus: translating organizational knowledge into a structured system that improves information retrieval and decision support.
Turning business data into decision-support systems
Developed an AI-powered business analyst capable of interpreting business metrics, invoices, and operational data to generate executive insights and reports.
My role: business logic modeling, KPI definition, SQL design, prompt architecture, and analytical workflow design.
Key focus: connecting business processes with AI-assisted analysis.
Automating operational workflows through conversational interfaces
Designed a workflow automation system that integrates messaging, AI, and business processes to automate repetitive communication tasks.
My role: workflow design, process automation, integration architecture, and conversational logic.
Key focus: improving operational efficiency through intelligent automation.
Automating information consolidation and reporting
Built an automated reporting workflow that consolidates operational data from PostgreSQL and Excel into periodic management reports.
My role: data integration, SQL analytics, automation design, and reporting workflow architecture.
Key focus: transforming dispersed operational data into structured management information.
π« Let's connect:
LinkedIn