Expertise & Sharing
I am Ricken Bazolo, IT Consultant, author, speaker, open source contributor and founder of Gad Digital. With over 10 years of professional experience, I design robust digital applications and platforms, with strong expertise in software architecture, Java, fullstack development, as well as AI agents and agentic systems.
My expertise lies at the intersection of software engineering, systems architecture, fullstack development, applied artificial intelligence, and technical sharing.
Design of robust applications, modular architectures, APIs, Java backend, Spring, Quarkus, hexagonal architecture, microservices and enterprise systems.
Integration of LLMs, RAG, AI agents, Spring AI and conversational systems into concrete business applications.
Web, mobile and backend application development with an approach oriented towards quality, maintainability, performance and business value.
Articles, conferences, training and educational content around software engineering and applied AI.
My path has been built between corporate missions, open source contributions, technical training and entrepreneurial projects. I intervene as an IT consultant, software architect, fullstack developer, trainer, speaker and founder of Gad Digital.
Learn more about my backgroundSupporting companies in various sectors: financial services, fintech, games, education, public services, industry and health.
Active participation in Java and AI projects (Spring AI) and publication of libraries like Toon4j.
Mentoring developers and introducing young people to robotics, home automation and embedded systems.
Published by Orange AVA, this book is dedicated to Java design patterns, modern software architecture and the design of robust, maintainable and scalable applications.
View the book
Gad Digital is the technology company I founded to transform my expertise into concrete solutions, products and support. Through Gad Digital, I lead initiatives around digital solution development, applied AI and technical training.
Discover Gad DigitalBlog
RAG in Practice : From Retrieval to Business Reasoning
Once the data layer is in place, the real challenge is turning a RAG system that retrieves passages into one that produces structured, useful, and justifiable business answers.
RAG in Practice: Why Everything Starts with Data Engineering
In a real RAG project, answer quality often depends less on the model than on how documents are collected, cleaned, structured, and split. A field perspective based on a project built on a complex business corpus.
Model Context Protocol (MCP) with Spring AI: Exposing and Consuming Remote Tools
The Model Context Protocol (MCP) is an open protocol that standardizes communication between AI applications and external tools. In this article, we build an MCP Server that exposes a RAG tool and an MCP Host that orchestrates it alongside the GitHub MCP server.
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