Back-end developer specializing in Java and Spring Boot, and AI engineer: I build infrastructure that provides memory and context to AI agents.
What I do: High-performance REST APIs and data pipelines using Java Spring Boot, PostgreSQL, and Docker. For example, I reduced the processing time for millions of public records from the ANS (National Supplementary Health Agency) from hours to seconds by replacing standard JPA INSERT operations with PostgreSQL’s native COPY protocol in a custom-built ETL pipeline.
In the AI ecosystem: I created EGC (Extended Global Context), an open-source runtime (MCP) that provides persistent memory to agents like Claude Code, Cursor, and Gemini CLI, cutting token consumption from ~1,500 to ~200 per session (an ~87% reduction). The project has 56 stars and 46 forks, brings together 35 contributors from 10 countries, features documentation in 13 languages, and launched on Product Hunt. I am the author of the Agent Memory Interchange (AMI) open specification, which standardizes portable memory across AI agents.
I am also proficient in front-end development when a project requires a full-stack solution: React.js, TypeScript, and Node.js for SPAs, real-time dashboards, and multi-tenant systems.
I believe technology should solve real-world problems. That is why I pursue simple, scalable, and maintainable solutions, combining solid architecture, high performance, and clean code.
