performance-optimizer

To reduce API latency in a NestJS backend, run a performance audit to profile backend response times and apply database query optimization alongside targeted caching strategies to resolve identified bottlenecks.

Diagnosing page load and LCP issues in React or Next.js requires frontend profiling to identify bottlenecks, followed by applying code-splitting and bundle size optimization to improve page performance.

Yes, this performance optimization approach spans frontend, backend, and infrastructure, supporting React/Next.js, NestJS, Django, and cloud deployments to comprehensively profile and resolve memory, bundle size, and latency issues.

To optimize bundle size when web application performance drops, run a bundle-analysis profile to identify large dependencies, then apply code-splitting techniques to reduce the initial load payload.

High memory usage and API latency in Django applications often stem from unoptimized database queries and missing caching layers, which you can identify through backend profiling and resolve with query optimization.