- Built the backend integration for LLM-powered chatbot workflows end-to-end — from choosing the right model and configuring prompts, to planning token budgets and setting up cost monitoring so usage stays predictable
- Actively use AI coding assistants as part of my daily engineering workflow — for exploring approaches, drafting implementations, refactoring, and writing technical docs. It's a productivity multiplier, not a replacement for engineering judgment
- Every AI-generated output goes through my review before it reaches production. I treat AI suggestions as rough drafts — useful starting points that still need human judgment for correctness, edge cases, and long-term maintainability