# Skills

A snapshot of the tools and technologies I work with regularly, and where I place my confidence.

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## Languages

| Language   | Proficiency | Notes                                      |
|------------|-------------|--------------------------------------------|
| C          | ★★★★★       | Systems, embedded, performance-critical code |
| Python     | ★★★★★       | Scripting, data pipelines, ML prototyping  |
| JavaScript | ★★★★☆       | Full-stack, Node.js, browser APIs          |
| Rust       | ★★★☆☆       | Learning — memory safety, async runtimes   |
| Java       | ★★★☆☆       | Coursework, Spring ecosystem               |
| Bash / Zsh | ★★★★☆       | Automation, CI scripting                   |

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## Systems & Infrastructure

- **Operating Systems** — Linux administration, kernel concepts, process/memory management
- **Networking** — TCP/IP, HTTP, DNS, socket programming
- **Containerisation** — Docker, Docker Compose
- **Version Control** — Git (including rebase, worktrees, bisect)
- **CI/CD** — GitHub Actions, basic pipeline design

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## Web Development

- **Frontend** — Vanilla JS/CSS, React (functional, hooks), accessible HTML
- **Backend** — Node.js/Express, Python/FastAPI, REST API design
- **Databases** — PostgreSQL, SQLite, basic Redis usage

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## Other

- **Algorithms & Data Structures** — competitive-programming level
- **Compilers** — lexing, parsing, AST construction (hobby project)
- **Machine Learning** — PyTorch, scikit-learn, classical + deep methods

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