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Pushpendra UserPU
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Pushpendra User

@pushpendrauser1

I build secure, scalable MERN applications and responsive user experiences.

India
Message

I'm building secure, scalable full-stack features at Fairdeal.Market using Node.js, Express.js, MongoDB, and React.js. I develop backend APIs, optimize MongoDB schemas, and deliver responsive frontend components.

I built a MERN resume builder with JWT authentication, protected APIs, live preview, template editing, image upload, PDF export, and real-time thumbnail generation. I also developed a cross-platform React Native e-commerce app with product, cart, wishlist, order management, payment integration, Redux Toolkit, and AsyncStorage.

Previously, I mentored Coding Ninjas students in C++, data structures, and algorithms, earning a 4.7/5 feedback rating. I’ve solved 280+ DSA problems on LeetCode and hold a 1525 contest rating.

Experience

Work history, roles, and key accomplishments

FA
Current

Fullstack Developer Intern

Fairdeal.Market

Jun 2026 - Present (3 months)

Developed and maintained scalable backend APIs using Node.js, Express.js, and MongoDB. Designed and optimized MongoDB schemas, implemented CRUD operations, and integrated RESTful APIs. Developed responsive frontend components using React.js and collaborated with the development team to build secure, efficient, and high-performance full-stack features.

CN

Teaching Assistant Intern

Coding Ninjas

Jan 2025 - Mar 2025 (2 months)

Resolved students' doubts in C++, Data Structures, and Algorithms, strengthening their problem-solving and coding fundamentals. Debugged and optimized students' code by explaining concepts like recursion, dynamic programming, arrays, linked lists, and trees with practical examples. Maintained an overall student feedback rating of 4.7/5 for consistent mentoring and effective communication.

Education

Degrees, certifications, and relevant coursework

JSS Academy of Technical Education, Noida logoJN

JSS Academy of Technical Education, Noida

B.Tech, Computer Science and Engineering (Artificial Intelligence & Machine Learning)

2022 -

Grade: 8.04/10

Activities and societies: Relevant Coursework: Data Structures & Algorithms, Operating Systems, DBMS, OOPs, Software Engineering.

Pursuing a B.Tech in Computer Science and Engineering with a focus on Artificial Intelligence and Machine Learning, maintaining a CGPA of 8.04/10.

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