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# Michelle Jayaraj

**Headline:** Professional profile
**Location:** Fremont, CA, USA

## About

Michelle Jayaraj is a full\-stack builder with experience across backend APIs and data pipelines as well as frontend development\. She is strongest at translating functional requirements into modern, user\-friendly UI/UX, pairing product thinking with practical implementation\. Michelle built a wardrobe\-sharing application after identifying a personal need around sharing clothes, developing the product with Supabase, React Native, and Expo and emphasizing a balanced user experience\. She is familiar with Python, React Native, and FastAPI, and uses AI development tools including Codex and Cursor to support debugging and problem\-solving\. Michelle is continuing to deepen her Python expertise and is interested in collaborative, hands\-on environments with strong learning opportunities\.

## Highlights

- Built a full\-stack wardrobe\-sharing app with Supabase, React Native, and Expo\.
- Identified a personal wardrobe\-sharing problem and translated it into an app solution through product thinking\.
- Balanced functional requirements with modern, user\-friendly UI/UX in application development\.
- Brings experience across backend APIs, data pipelines, and frontend development\.
- Uses Codex and Cursor to support debugging and problem\-solving\.
- Is familiar with Python, React Native, and FastAPI\.
- Is working to deepen Python expertise\.

## FAQ

### What does Michelle do?

Michelle is a full\-stack builder with experience in frontend development and backend work, including APIs and data pipelines\. She focuses on creating products that meet functional requirements while delivering modern, user\-friendly UI/UX\.

### What is Michelle strongest at?

Michelle’s strengths include balancing functional requirements with UI/UX design, applying product thinking to real user problems, and working across frontend and backend development\.

### What project has Michelle built?

Michelle built a full\-stack wardrobe\-sharing app after identifying a personal problem related to sharing clothes\. The project reflects her ability to turn a real user need into an application solution\.

### What technologies did Michelle use for her wardrobe\-sharing app?

Michelle built the wardrobe\-sharing app with Supabase, React Native, and Expo\. She focused on balancing functionality with the app’s UI and UX\.

### What backend and frontend experience does Michelle have?

Michelle has experience with backend APIs, data pipelines, and frontend development\.

### What technologies is Michelle familiar with?

Michelle is familiar with Python, React Native, and FastAPI\.

### How does Michelle use AI development tools?

Michelle uses AI development tools such as Codex and Cursor for debugging and problem\-solving\.

### What skill does Michelle want to develop further?

Michelle wants to deepen her expertise in Python\.

### What work environment is Michelle seeking?

Michelle is looking for a collaborative environment with strong learning opportunities, particularly a hands\-on startup environment\.

## Links

- LinkedIn: https://www\.linkedin\.com/in/ACoAAEZwR0ABA1xyECFRx5h2fTnJvPukM0DJTJw

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