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Live ProductNov 2024 - Dec 2025Lead Frontend Developer

SoundOfMeme-AIMusicGenerationPlatform

Sound Of Meme was an AI-powered music generation platform where I owned the frontend from scratch. The work covered scalable architecture, reusable components, custom hooks, maintainable UI flows, the core music player, AI song generation, SEO-focused frontend architecture, and production performance.

Sound Of Meme - AI Music Generation Platform preview

An AI-powered music generation product with a scalable React architecture and optimized bundle size.

01 / What I did

The concrete ownership

Led frontend development from scratch.

Built scalable React.js architecture with reusable components and custom hooks.

Built the core music player system.

Built the user-facing AI song generation experience.

Implemented metadata optimization, structured content, and 25+ blog pages.

Reduced production bundle size from approximately 8 MB to 2 MB.

02 / How I did it

The implementation approach

Used React.js, Redux, and Tailwind CSS to build maintainable UI flows.

Used lazy loading, route-level code splitting, shared/global components, and rendering optimization.

Structured the frontend around reusable systems instead of one-off screens.

Built SEO-focused architecture with metadata optimization and structured content.

Challenges

Where the project could get messy, and how I handled it.

The product needed a scalable frontend from scratch, smooth AI song generation flows, a music player system, and better production performance.

Each point focuses on the real build scope: implementation pressure, performance, responsiveness, workflows, and launch quality.

01

Building from scratch

Challenge

The platform needed a complete frontend foundation, not just isolated screens.

How I tackled it

I built the React architecture with reusable components, custom hooks, Redux state, and maintainable UI flows.

02

Performance at production size

Challenge

The production bundle was approximately 8 MB, which was too heavy for a responsive product experience.

How I tackled it

I used lazy loading, route-level code splitting, shared/global components, and rendering optimization to reduce it to approximately 2 MB.

03

AI music UX

Challenge

The AI generation experience and music player needed to feel smooth and production-ready.

How I tackled it

I built the core music player system and user-facing AI song generation experience with responsive layouts and smooth interactions.

Outcome

What shipped from the work.

An AI-powered music generation product with a scalable React architecture and optimized bundle size.

Reduced production bundle size from approximately 8 MB to 2 MB.

Built the core AI song generation and music player experience.

Implemented SEO-focused architecture with 25+ blog pages.