I’m looking for an experienced Python professional who can step in quickly, study my existing code base, and advise on the best path forward. The work may range from diagnosing stubborn bugs to sketching out a brand-new feature, optimising data-heavy routines with Pandas or NumPy, or tightening a Django/Flask back end so it scales cleanly. If you’re equally comfortable brainstorming high-level architecture and rolling up your sleeves to write clean, testable code, we’ll be a great fit. Here’s what I need from you: • A concise audit of the current Python setup, highlighting critical issues and quick wins • Practical recommendations (and, where appropriate, sample code) for improving performance, readability, and maintainability • Follow-up support to ensure proposed changes integrate smoothly with the live environment Clear communication is essential. I’m happy to collaborate through video calls, shared repos, or annotated code reviews—whatever keeps the feedback loop tight. Let me know your availability and a brief outline of similar consulting projects you’ve handled, and we can get started right away.