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React Engineer with less than a year in web development and AI integration.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly motivated and results-driven individual pursuing a Master's in Computer Applications with a strong foundation in modern web technologies. Proven ability to build and maintain production-grade React applications, develop real-time features using WebSockets, and integrate REST APIs. Experienced in full-stack development with Next.js, Node.js, and MongoDB, and skilled in leveraging AI/ML APIs for enhanced user experiences in projects like intelligent photo categorization and video summarization. Eager to contribute to innovative projects and continuously expand technical expertise.
Mahakaushal University
Master of Computer Applications · Computer Applications
January 1, 2023 – December 31, 2025
Makhanlal Chaturvedi National University
Bachelor of Computer Applications · Computer Applications
January 1, 2020 – December 31, 2023
CODTECH
React.js Web Dev Intern
January 1, 2025 – March 31, 2025
India
Courseflow
June 27, 2026 – Present
• Built a full stack web application enabling users to import YouTube playlists and track learning progress. • Developed backend APIs for managing courses, user progress, and learning data using Node.js. • Integrated LLM APIs (Google Gemini) for automated video summarization and quiz generation.. • Implemented real-time progress tracking and auto-save notes, improving learning efficiency and user engagement.
View ProjectPhotoShare -Pro
June 27, 2026 – Present
• Built a production-ready full stack web platform enabling photographers to deliver event photos instantly via QR-based access. • Developed REST APIs and real-time features using Socket.io for event management and live photo gallery updates. • Designed scalable MongoDB schemas with Mongoose, indexes, and pagination for efficient data access. • Integrated a smart AI-like photo categorization layer to automate image tagging and improve user experience.
View ProjectCultural Fit Analysis
The candidate's personal projects demonstrate initiative and a passion for building diverse applications, from photo sharing to learning platforms. The use of modern technologies and AI integration suggests a forward-thinking mindset. The internship experience, even if short, shows an attempt to gain professional experience. The breadth of skills and project diversity indicate a willingness to learn and adapt, which generally contributes positively to cultural fit in dynamic environments. However, the limited professional experience means cultural fit is primarily inferred from project descriptions.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex features (e.g., real-time updates, AI integration) and a focus on user experience. The internship experience, though brief, suggests an understanding of production-grade application development. However, without direct assessment data on collaboration, problem-solving, or communication in a team setting, a comprehensive evaluation of soft skills and operational fit is limited.