Software Performance Optimization

Reduce REST and GraphQL API response times through payload optimization, caching strategies, connection pooling, and request parallelization techniques.

Profile and optimize backend service throughput using CPU flame graphs, profiler output, and hotpath analysis to maximize requests per second under load.

Reduce JavaScript bundle sizes, eliminate dead code, and optimize Webpack, Vite, and Rollup build pipelines for faster page loads and better performance scores.

Optimize multi-threaded and async application performance by resolving lock contention, race conditions, thread pool sizing, and async/await inefficiencies.

Improve LCP, INP, and CLS scores to meet Google's Core Web Vitals thresholds, boost search rankings, and deliver measurably faster user experiences.

Diagnose and fix browser rendering bottlenecks, layout thrashing, paint storms, and JavaScript jank to achieve smooth 60fps web experiences.

Design load tests with k6, Locust, and JMeter, interpret throughput and latency results, and identify system bottlenecks before they reach production.

Identify and fix memory leaks in JavaScript, Python, Java, C#, and C++ applications using heap analysis, profiler data, and proven remediation patterns.