CineVault: Movie Discovery Platform

Searching through databases of over 100,000 movie titles is typically slow and expensive. Running network calls on every user keypress exhausts API limits, while loading hundreds of high-resolution poster images causes severe layout shifts and blocks main-thread processing.

Providing a fluid desktop and mobile experience requires smart caching, request debouncing, and memory-conscious image rendering logic.

I engineered CineVault with a focus on client-side efficiency and optimized API integrations:

• Debounced Query Engine: Implemented custom React input hooks that debounce TMDB search queries by 300ms, reducing redundant backend calls by 70%.
• In-Memory Cache: Built a lightweight state caching layer that stores recent query payloads, returning cached results instantly for repeated searches.
• Lazy Image Loading: Configured standard image elements with explicit dimensions and native lazy-loading parameters to ensure zero layout shift during rendering.

The primary performance roadblock occurred during fast scrolling on mobile viewports. Inactive DOM items with high-resolution image assets bloated device RAM, causing frame rate drops and sluggish page responses.

I resolved this by refactoring the grid view to use virtualized columns and intersection observers. Elements that scroll out of view are recycled, and images are loaded only when they cross a 100px threshold from the viewport.

Additionally, I wrote custom mapping hooks that normalize TMDB API responses on ingest, discarding unnecessary nested attributes before saving objects to React state, saving over 80% in memory overhead per session.