Performance problems are often symptoms of deeper issues. A slow application may be caused by inefficient code, excessive network requests, database queries, rendering behavior, state-management problems, memory usage, external services or architectural decisions.

My approach is therefore based on measurement, isolation and targeted optimization rather than applying generic performance tricks.

• Slow mobile applications • Slow web applications • Slow APIs • Database bottlenecks • Excessive network requests • Slow startup times • Excessive UI rebuilding • Expensive computations • Memory-related problems • Inefficient caching • Slow background jobs • Performance regressions

Establish the observed performance problem.

Reproduce the behavior.

Measure relevant parts of the system.

Identify the actual bottleneck.

Implement targeted improvements.

Re-test and compare results.

Where useful, I can provide before/after measurements so the improvement is based on evidence rather than perception.

Performance optimization is especially useful when a system already works functionally but has become too slow, expensive or resource-intensive.