Fullstack Engineer with less than a year in MERN stack & Next.js
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 Web Development Intern with hands-on experience building scalable web applications using the MERN stack and Next.js. Developed AI-powered and real-time applications integrating authentication, payments, and RESTful APIs. Strong understanding of modern frontend architecture, backend systems, and database design. Comfortable collaborating in Git-based workflows and deploying applications to production.
Gujarat University
Bachelor of Science · Information Technology
August 1, 2023 – June 1, 2026
Ankur Vidhyavihar
Higher Secondary Certificate (HSC) · Commerce Stream
June 1, 2022 – June 1, 2023
AI-Powered LMS
June 1, 2026 – Present
Built an AI-powered learning management system using Next.js. Used Google Gemini API to generate course outlines, notes, flashcards, and quizzes. Implemented user authentication and protected routes using Clerk. Integrated Stripe subscriptions for paid learning features. Designed the database using PostgreSQL and Drizzle ORM. Used background jobs (Inngest) for AI content generation.
View ProjectReal-Time Chat Application
June 1, 2026 – Present
Built a Real-Time Chat Application with one-to-one messaging using Socket.IO. Implemented JWT-based authentication and secured REST APIs. Added online/offline user status and unread message indicators. Managed scalable chat data using MongoDB Atlas.
View ProjectBlog Platform
June 1, 2026 – Present
Developed a Full-Stack Blog Platform with secure user authentication. Implemented JWT-based login system and protected routes. Built complete CRUD operations for blog management. Added interactive features like likes and comments system.
View ProjectSaaS Development Workshop - Scalable SaaS Architecture
Unknown
June 1, 2026 – Present
Hackout 2025 – Regional Hackathon Participant
Unknown
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's personal projects demonstrate initiative and a passion for learning new technologies, which aligns well with a culture of continuous improvement and innovation. The diversity of projects (LMS, Chat, Blog) shows a broad interest in different application domains. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit in a collaborative work environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on diverse technical challenges, from AI integration to real-time communication. The participation in a hackathon and workshop suggests a proactive learning attitude and interest in collaborative environments. However, without direct work experience, operational fit regarding team collaboration, project management, and handling workplace stress cannot be fully assessed.