AI & Machine Learning Researcher
Priya explores applied AI, LLM tooling, and the practical side of shipping machine learning features.
Articles by Priya Nair
Understanding RAG: Retrieval-Augmented Generation Explained
How Retrieval-Augmented Generation actually works — why it exists, how it differs from fine-tuning, and where it breaks down in practice.
Async Python with asyncio: A Practical Introduction
When async Python actually helps, how async/await and the event loop work together, and the mistakes that silently turn 'async' code back into synchronous code.
Android App Permissions: A User's Guide to Staying Safe
How Android's permission model works, which permissions actually deserve scrutiny, and how to audit what your installed apps can access.
Getting Started with Android Emulator for Testing
How to set up and use the Android Emulator through Android Studio — creating virtual devices, common performance fixes, and when a physical device is still the better choice.
iOS Shortcuts: Automating Your iPhone Like a Developer
The Shortcuts app is a real automation tool, not just a novelty — how to build practical, triggered automations without writing code.
Keyboard Shortcuts That Will Save You Hours Every Week
The highest-leverage keyboard shortcuts across the OS, browser, and editor — the ones worth actually memorizing, not an exhaustive list nobody retains.
How to Structure Your Developer Day for Deep Work
Why context-switching is so costly for programming specifically, and practical ways to structure a day that protects the focus deep work actually requires.
Prompt Caching for LLM Apps: How It Works and Why It Cuts Costs
Prompt caching can cut LLM API costs by 50-90% on repeated context. Here's how it actually works under the hood and when to use it.
Python Virtual Environments: venv, pipenv, poetry, or uv?
A comparison of Python's dependency management tools and a practical recommendation for which one to use in 2026.