The Challenge

The core design of FitLoop was built around an elliptical shape loop. The designs demanded a progress indicator that matched this elliptical aesthetic, but no existing Flutter package provided this functionality. This required building a custom solution from the ground up to create a visually accurate and performant elliptical progress bar.

The Solution

Broke down the complex problem into manageable geometric components by decomposing the ellipse into sections composed of lines and arcs. All coordinate points were calculated with the origin positioned at the leftmost screen edge, then dynamically adjusted based on user-input height values. Utilized Flutter's Canvas and Path APIs to render the shape by joining individual geometric elements together. The progress was divided into 6 discrete sections, with logic to determine which sections needed to be filled and by how much. Stroke width was leveraged to control the visual thickness of the progress indicator.

Tech Stack

Key Takeaways

• •Decomposed ellipse geometry into lines and arcs for scalable rendering
• •Implemented coordinate calculations with origin-relative positioning
• •Dynamic height adjustment based on user input
• •6-section progress division with intelligent fill calculation
• •Optimized stroke width for visual control
• •Pixel-perfect elliptical shape matching design specifications

The Challenge

Implementing a fragrance e-commerce platform with dynamic UI components positioned on a static background image. The background image served as a visual container (a perfume box display), but components like '+' buttons and product selections needed to scale responsively across different screen widths and device heights. Static positioning wouldn't work—elements had to maintain correct placement relative to the background image as it resized.

The Solution

Leveraged mathematical calculations combined with Tailwind CSS breakpoints to solve this responsive positioning challenge. For each responsive breakpoint, I calculated the exact position of each UI section relative to the leftmost edge of the background image in percentage values. This required measuring the image layout, performing pixel-to-percentage conversions, and running multiple iterations to find precise offset values. The approach blended CSS media queries with computed positioning—ensuring elements stayed aligned with the background image across all viewport sizes.

Tech Stack

Key Takeaways

• •Responsive across 5+ breakpoints without layout shifts
• •Pixel-perfect alignment with design mockups
• •Reduced bundle size by using CSS over JavaScript calculations
• •Seamless experience from mobile (380px) to desktop (2K+ screens)
• •Improved load performance through optimized background images
• •Mathematical approach prevented common responsive issues with overlapping elements

The Challenge

A high-traffic e-commerce platform was suffering from severe performance bottlenecks. Initial load times were slow, Lighthouse scores were poor, and excessive re-renders were causing jank on mobile devices. The large chunk size combined with unoptimized animations, inefficient image loading, and suboptimal rendering strategies resulted in a degraded user experience that likely impacted conversion rates. The team needed a comprehensive performance overhaul that could deliver measurable improvements across all performance metrics.

The Solution

Implemented a multi-layered optimization strategy focusing on three core areas: rendering optimization, resource optimization, and rendering strategy. For rendering, reduced animation durations, and replaced opacity transitions with direct opacity values. For resources, replaced SVGs with optimized WebP images, implemented Next.js Image component with priority loading for LCP elements, resized images to actual dimensions, and enabled the optimizeCss flag to trim unused styles. For rendering strategy, used Client-Side Rendering (CSR) where Server-Side Rendering (SSR) caused delays, eagerly loaded LCP images, inlined critical CSS, and leveraged dynamic imports for non-critical code. Additionally, applied memoization strategies using useMemo and useCallback, replaced useEffect with useDeepCompareEffect for complex objects, and optimized Tailwind classes by using opacity values in color definitions instead of separate opacity utilities. Each optimization was measured against Lighthouse benchmarks to ensure cumulative improvement.

Tech Stack

Key Takeaways

• •75% reduction in unnecessary re-renders through memoization and deep comparison effects
• •40% improvement in Largest Contentful Paint (LCP) by prioritizing hero images and using semantic p tags
• •Replaced 18 SVGs with optimized WebP images, reducing image payload by 65%
• •Eliminated layout shifts by maintaining aspect ratios and resizing images to needed dimensions
• •Improved overall Lighthouse score from 42 to 87 through cumulative optimizations including CSS trimming and critical CSS inlining
• •Enabled CSR-first rendering strategy where appropriate, reducing server response times
• •Decreased bundle size through dynamic imports and CSS optimization flags

The Challenge

Existing carousel libraries either relied on fixed dimensions, causing cards to be clipped on smaller screens, or used absolute positioning that broke responsive layouts. The challenge was building a carousel that would dynamically adjust card dimensions based on viewport width while maintaining smooth animations, precise child placement, and a seamless experience across mobile, tablet, and desktop devices without any visual overflow or clipping.

The Solution

Built a custom carousel leveraging React hooks and CSS media queries to create a responsive, dynamic solution. Used useRef to capture the width of individual carousel children and calculate container dimensions in real-time. Implemented media queries to listen for viewport width changes and adjust card dimensions accordingly. Applied mathematical calculations to compute CSS transform animations based on child widths and user interactions (next/previous button clicks), enabling precise positioning without hardcoded values. Added configurable features including autoplay functionality, bidirectional scrolling (horizontal and vertical), customizable autoplay intervals, and exposed refs for external control. The approach eliminated the need for fixed dimensions while maintaining pixel-perfect animations and preventing overflow issues across all screen sizes.

Tech Stack

Key Takeaways

• •Fully responsive from 320px mobile to 2K+ desktop without card clipping
• •Dynamic child width calculation using useRef for zero configuration needed
• •Mathematical transform calculations for smooth, performant animations
• •Support for bidirectional scrolling (horizontal and vertical orientations)
• •Configurable autoplay with customizable intervals and play/pause controls
• •Exposed refs for programmatic carousel control and external integration
• •No external dependencies required—pure React and CSS solution
• •Eliminates visual overflow and layout shifts across all breakpoints