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Fullstack Engineer with 1+ years in MERN stack with 1.0 Years in web applications and machine learni
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Full Stack Developer specializing in the MERN stack (MongoDB, Express.js, React.js, Node.js) with additional experience in Machine Learning and Data Science. Experienced in building scalable web applications, REST APIs, and intelligent systems integrating recommendation engines and data-driven features. Passionate about solving real-world problems through technology and continuously improving software engineering skills.
Integral University
Bachelor of Computer Applications (BCA) · Computer Applications
August 1, 2023 – June 30, 2026
Webroz Tech
Frontend / Full Stack Developer Intern
January 1, 2026 – Present
Lucknow, Uttar Pradesh, India
Internshala Training
Data Science Intern
July 1, 2025 – August 1, 2025
India
Campus Quest (Quiz Management System)
June 27, 2026 – Present
Developed a full-stack quiz platform using the MERN stack for conducting quizzes at Integral University. Implemented automated scoring, real-time leaderboard, and an admin dashboard for quiz creation, management, and performance tracking.
View ProjectClozety E-Commerce Platform
June 27, 2026 – Present
Currently developing a MERN stack based e-commerce platform for skincare products. Implementing product management, authentication, cart functionality, and scalable REST APIs for efficient order and inventory management.
View ProjectNetflix Movie Recommendation Platform
June 27, 2026 – Present
Built a full-stack movie recommendation web application inspired by Netflix using the MERN stack. Integrated TMDB API for movie metadata and implemented a collaborative filtering recommendation engine to generate personalized movie suggestions.
Certified Data Scientist
Internshala Training Program
June 1, 2026 – Present
Oracle Data Science Certification
Oracle
June 1, 2026 – Present
Cultural Fit Analysis
The candidate has a mix of academic and personal projects, demonstrating initiative and a passion for learning. The experience in both full-stack development and data science indicates a broad interest in technology, which could be beneficial for cross-functional teams. However, the 'Customer Segmentation' technology listed for all projects in the candidate data seems to be a miscategorization, as the resume clearly states MERN stack and recommendation engines. This discrepancy makes it harder to fully assess the depth of their full-stack focus versus data science interest for a dedicated Fullstack Engineer role. The current internship as a Full Stack Developer aligns well with the target role.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on end-to-end features (e.g., automated scoring, real-time leaderboards, authentication). The internship experience suggests collaboration with backend services and debugging capabilities. However, the resume lacks explicit mentions of teamwork, problem-solving methodologies, or communication in a professional setting beyond technical contributions.