A collection of performance optimization techniques, tools, and strategies implemented across various client projects. This includes code splitting, lazy loading, image optimization, bundle size reduction, caching strategies, and Core Web Vitals optimization. The results demonstrate expertise in modern performance best practices.
2022 - 2024
Multiple client projects were experiencing poor performance with PageSpeed scores of 40-60, slow page load times (5-8 seconds), large bundle sizes, and failing Core Web Vitals, leading to high bounce rates and poor user experience.
Develop and implement comprehensive performance optimization strategies across multiple client projects that improve PageSpeed scores, reduce bundle sizes, optimize Core Web Vitals, and enhance overall user experience while maintaining feature functionality.
Implemented code splitting and lazy loading for optimal bundle sizes, optimized images with WebP format and responsive images, conducted bundle analysis reducing sizes by 60%+, implemented caching strategies (service workers, HTTP caching), optimized Core Web Vitals (LCP, FID, CLS), optimized database queries and API response times, extracted and inlined critical CSS, integrated CDN for static assets, and implemented performance monitoring and analytics.
Achieved 90%+ improvement in page load times across multiple projects, improved PageSpeed scores from 40-60 to 90-100, reduced bundle sizes by 60-70%, improved Core Web Vitals (LCP < 2.5s, FID < 10ms, CLS < 0.1), reduced bounce rates by 25-40%, and reduced server costs by 40% through efficient caching.
Balancing feature richness with performance requirements, optimizing third-party scripts, achieving consistent performance gains across different network conditions, and maintaining optimization benefits as code evolved were ongoing challenges that required systematic approaches.
Create optimization strategies that work across various network conditions and devices, maintain performance benefits through code evolution, and educate team members on performance best practices for long-term sustainability.
Developed adaptive loading strategies for different network conditions, created optimization guidelines and best practices documentation, implemented automated performance testing in CI/CD pipelines, optimized third-party scripts with async loading and defer strategies, established performance budgets and monitoring, and conducted team training sessions on performance optimization.
Achieved consistent performance improvements across all network conditions, maintained optimization benefits through multiple feature releases, reduced performance regressions by 80%, improved team understanding of performance best practices, and established sustainable optimization processes.