AI and Backend Engineering Experiments
Personal experiments with LLM tool calling, structured outputs, and backend patterns. Public write-ups will be added here.
Developer Tools, personal project
Problem and motivation
Learning agent patterns needs small, safe projects that are not tied to proprietary systems.
Solution and architecture
Small self-contained experiments built on public data and tools, each focused on one engineering question with documented trade-offs. Details will be added as projects are published.
My role
Sole author.
Technology stack
- Java
- Spring Boot
- Spring AI
- TypeScript
Key engineering decisions
- Keep dependencies minimal and measure behavior instead of relying on demos alone.
Lessons learned
- Small experiments expose integration gaps early.
Related projects
Distributed Event-Driven Backend Experiments
Developer Tools, personal project
A high-throughput telemetry ingestion and query pipeline prototype built on Cassandra and Java concurrency primitives.
- Java
- Cassandra
- Concurrency
- Docker
- Maven