App LogoApp name
AP

Anjali Patel

Open to work0 years experience

Frontend Developer

Ahmdabad, GujaratTarget Roles: Backend Engineer • Full-Stack Developer • Frontend Specialist

Computer Science Engineering student specializing in Full-Stack Development and AI.

Resume
Email

Standing Rank

Rank Not Available

Developer Badges

Badges Pending

Skills & Technologies

17 skills
javascripttypescriptpythonc++sqlragai agentsmulti-agent systemsprompt engineeringtool/function callingreact.jsnode.jsexpress.jstailwind csspostgresqlmongodbmysql

GitHub Activity Evidence

GitHub Footprint Not Connected

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Work Experience

Frontend Intern

Codage Habitation

Jan 2026 - May 2026 Anand, Gujarat
  • Developed responsive React.js interfaces, improving page load performance and user experience by 25–30% across devices.
  • Integrated REST APIs and optimized UI workflows reducing data fetching time and improving application efficiency by 20–25%.

Projects

Event Management System

React.jsNode.jsExpress.jsMongoDBPostmanJWT
  • Developed a full-stack event management system with Admin/User roles, enabling event creation, ticket booking, and secure user authentication.
  • Implemented QR-based ticket verification system to validate payments, prevent duplicate entry, and track real-time event attendance.
  • Built secure features including JWT authentication and email-based password recovery, ensuring safe user access and account management.

Instagram-Clone

React.jsNode.jsExpress.jsMongoDBPostmanJWT
  • Built a full-stack Instagram clone with features like post creation with captions, and dynamic follow/unfollow system, replicating core social media functionality.
  • Developed and tested RESTful APIs using Node.js and Express, validated through Postman for reliable client-server communication.
  • Structured the application using a 4-layer architecture (components, hooks, services, state) and integrated MongoDB for efficient data management and scalability.

AI Image Enhancer

ReactTailwind CSS
  • Developed a browser-based AI tool that enhances and sharpens user images using React and TensorFlow.js without any Python or backend dependancy.
  • Optimized on-device ML inference to achieve 300 ms processing time per image, improving visual clarity by 35.
  • Integrated features like drag-and-drop upload, before/after preview, and real-time enhancement.
  • Tested on 1,000+ images with 98.

Leaderboard Standings

Leaderboard Position Pending

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Assessment Highlights

Assessments Not Completed

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AI Collaboration Score

AI Collaboration Score Pending

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Role Compatibility Profile

Role Compatibility Analysis Pending

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Achievements

Achievements Not Earned

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About Details

Professional Bio

Aspiring Computer Science graduate with expertise in full-stack development and AI integration. Skilled in building responsive web applications and optimizing performance using React, Node.js, and MongoDB.

Bachelors of Technology in Computer Science and Engineering (IoT)

G H Patel College of Engineering and Technology (2022 - 2026)

Languages: English, Hindi
Email: Locked