Software Engineer from Poland building backend systems and learning production AI agent engineering.
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Java and Spring Boot services with clean boundaries, SQL persistence, migrations, testing and cloud-native delivery. |
Agent workflows, tool calling, retrieval, evals and observability for model-powered applications that can be debugged and improved. |
- Building toward AI agent engineering: orchestrators, tools, memory, retrieval and human-in-the-loop flows.
- Designing LLM-ready APIs: structured inputs, typed outputs, recovery hints and safe execution boundaries.
- Learning production-grade RAG: embeddings, vector search, hybrid retrieval and dataset-driven evaluation.
- Keeping backend fundamentals sharp: Java, Spring Boot, PostgreSQL, Docker, Kubernetes and AWS.
| Area | What I practice |
|---|---|
| Agentic workflows | Orchestration, task state, tool design, retries and human approvals |
| Retrieval | RAG, embeddings, vector stores, hybrid search and context selection |
| Reliability | Evals, traces, regression datasets, observability and cost/latency control |
| Security | Prompt-injection awareness, sandboxing, permission boundaries and safe actions |
| Backend craft | Clean architecture, API contracts, SQL, tests, containers and cloud delivery |