Data Scientist · Software Engineer · Aviationeer

Data scientist by training, software engineer by heart, and aviationeer by profession. I have grown into AI engineering where the work requires it—focusing on thoughtful, resource-aware solutions and software that remains clear as it evolves.

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What I'm Building

AI should solve a real problem, not merely add noise. My work focuses on the tooling, vocabulary, and workflow discipline that make AI systems useful, efficient, and understandable.

	Project	Focus
✨	PIIA	Personal Information. Intelligent. Anywhere. The independent, closed-source product I am building myself to tackle a difficult problem deliberately. It is not open for contributions.
📚	Open Agent Glossary	A shared vocabulary for agentic systems—clear concepts before fashionable terms.
🧭	PI Session Orchestration	Patterns and tooling for structured, observable AI-agent collaboration. Coming soon.
🧰	Skills	Reusable skills and operating practices for AI-assisted engineering.

How I Work

Practical over theatrical. I aim for AI solutions that are proportionate to the problem, deliberate with resources, and designed around the people who will use them. The same standard applies to the code underneath: reusable, clean, tested, and extensible.

Tech DNA

Mobile          Flutter · BLoC
Backend         Python · FastAPI · LangChain
Data & Knowledge Data science · Knowledge graphs · Neo4j · Cypher
AI Systems      Pi · Agent orchestration · AI developer tools
Engineering     Clean Architecture · SOLID · Testable workflows · Observability
Principle       Reusable, clean, tested code—designed to be extended.

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Build systems that help people make better decisions.