Fullstack Engineer with less than a year in MERN stack development
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Final-year B.Tech Computer Science student skilled in MERN stack development (MongoDB, Express.js, React.js, Node.js) with experience building scalable full-stack web applications and RESTful APIs. Strong foundation in JavaScript, Java, SQL, and Data Structures Algorithms with hands-on project development and problem-solving experience.
Babu Banarasi Das University
Bachelor of Technology in Computer Science · Computer Science
September 1, 2022 – May 1, 2026
Uptricks Services Pvt. Ltd
MERN Stack Development Intern
April 1, 2025 – October 1, 2025
Pune, Maharashtra, India
Doctors Appointment System
October 1, 2025 – December 1, 2025
Built a full-stack Doctor Appointment System using the MERN stack for patient-doctor scheduling and appointment management. Implemented user authentication and role-based access for doctors and patients using Node.js and Express.js. Integrated Cloudinary for profile image and document storage and used React-Toastify for real-time notifications. Designed a responsive user interface using React and Tailwind CSS while optimizing backend APIs and database queries for better performance.
Intelligent Code Practice Platform
March 1, 2024 – May 1, 2024
Developed a coding practice platform using the MERN stack, enabling users to solve and practice 100+ coding problems efficiently with real-time feedback system. Implemented role-based authentication and user management using Node.js and Express.js to control platform access. Integrated AI-based assistance to provide intelligent hints and code suggestions for improving problem-solving efficiency. Built real-time video communication features using WebSocket to support live coding interview sessions. Implemented Redis caching and API rate limiting to handle high request loads and reduce API response time by approximately 35%. Designed responsive user interfaces using React and managed problem data and user activity with MongoDB.
Cultural Fit Analysis
The candidate's academic projects and internship demonstrate a proactive approach to learning and applying new technologies, which aligns with a growth-oriented culture. The involvement in competitive programming and tech expos suggests a passion for technology and continuous improvement. The focus on full-stack development and diverse project types indicates a broad interest in different aspects of software engineering, which can contribute positively to team dynamics. However, the limited professional experience means cultural fit is primarily inferred from academic and project activities.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex features and optimize performance, suggesting a problem-solving mindset. The internship experience shows exposure to real-world development processes. However, without direct assessment data, it's difficult to fully evaluate soft skills like teamwork, communication, and adaptability in an operational context.