Case studies
How I approach business problems: context, constraints, architecture, decisions and results.
- Real implementation
- Delivered inside an organization.
- Anonymized reconstruction
- Real experience, without confidential data.
- Proof of concept
- A working prototype to validate an idea.
- Reference design
- A proposed architecture, not yet implemented.
Professional experience
Data integration and enterprise analytics
Data architecture, Integration, BI
Integrating sources, building a data platform and enabling analytics for decision-making.
Anonymized reconstructionAutomated data capture and Power BI
ODK, Integration, Automation, Analytics
How field data capture becomes usable information for monitoring, control and decision-making.
Real implementationCloud architecture and enterprise platforms
OpenShift, Kubernetes, Cloud, DevOps
Challenges in platform architecture, containers, application deployment, automation, availability and enterprise operations.
Anonymized reconstruction
Demos and reference designs
Personal projects that show capabilities in data, digital products and AI. They are not presented as delivered enterprise implementations.
Real Estate Intelligence Platform
Real estate data, Analytics, Digital product
A demo platform to explore properties, compare alternatives and assess opportunities through indicators and scenarios.
Proof of conceptHome Acquisition Advisor
AI, Decision support, Digital product
A concept assistant that helps organize home-buying criteria, compare properties and evaluate purchase scenarios.
Reference designEnterprise Agentic AI Solution
Agents, RAG, Tools, Governance
An agentic AI solution for a specific business process: retrieving knowledge, querying authorized sources and acting within defined limits.
Reference design
Have an initiative that needs to move from idea to a working solution?
Tell me about the context and the goal. We'll work out together what is worth building, why, and how to start.
Let's talk