Engineering approach
I prefer explicit data flows, narrow service responsibilities, deterministic validation, and operational behavior that can be tested locally. A strong backend should make failure modes visible and recovery paths deliberate.
My public work emphasizes authentication, authorization, asynchronous processing, persistence boundaries, observability, reproducible tests, and documentation that distinguishes current implementation from future plans.
Current direction
- AI infrastructure
- Resilient distributed processing
- Document intelligence
- Agentic systems
- Production observability
Open source
I prefer complete, tested, and documented repositories that stay close to real use cases. Limitations and roadmap items should be visible, not disguised as finished features.