I help improve slow, inefficient, or resource-heavy applications by finding the bottlenecks that matter and fixing them with measurable, maintainable changes. I can help with:

CPU and memory bottleneck analysis

slow backend or API code paths

inefficient algorithms and data structures

repeated or unnecessary computation

I/O and processing bottlenecks

targeted code optimization

before/after benchmarking

correctness verification after changes

performance-focused refactoring I work across Python, Java, Node.js/JavaScript, C#/.NET, and other suitable technologies depending on the project. My approach is evidence-based: measure first, identify the highest-impact issue, optimize carefully, and verify the result.