- Improving personal projects that solve real problems
- Writing down practical dev notes and lessons learned
- Strengthening engineering fundamentals: code quality, automation, and maintainability
- Main languages: Python, GO, Js, Rust
- Platform and data: Docker, Kubernetes, MySQL, PostgreSQL, Redis
- Areas: backend development, automation scripts, AI tooling
- Working style: iterate in small steps, prioritize reusable solutions, optimize after a working baseline
- Ship 1-2 small projects that can be maintained long-term
- Improve test coverage and documentation quality
- Keep sharing useful open-source work