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MERN Stack Developer with less than a year in AI Integration and Cloud Deployment.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Gaurav Rajesh Moghe is an accomplished Full Stack MERN Developer with a strong foundation in building dynamic web applications. He possesses expertise in both frontend and backend development, including HTML5, CSS3, React.js, Node.js, Express.js, and MongoDB. His notable projects showcase practical experience in AI model integration (Gemini AI, OpenAI), real-time communication with WebSockets, and secure authentication (JWT, OAuth). With a focus on responsive design and efficient data management, Gaurav is adept at creating engaging and high-performance applications.
Dhanaji Nana Chaudhari collage, Jalgaon
Masters of Science · Computer Science
N/A – Present
ChatGPT Clone
June 1, 2026 – Present
Built a real-time AI chat application using MERN Stack (MongoDB, Express.js, React.js, Node.js). Integrated Gemini AI API to generate intelligent, human-like responses. Implemented JWT authentication for secure user login, logout, and registration. Added WebSocket for real-time message updates and a clean, responsive React UI with Tailwind CSS.
Moody Player (Music Streaming App)
June 1, 2026 – Present
Developed a dynamic music player web app using React.js and Node.js. Implemented features like search, playlist creation, and song management using MongoDB. Designed a responsive and modern UI for smooth user experience. Integrated Express APIs for managing users, songs, and playlists efficiently.
AI Caption Generator
June 1, 2026 – Present
Created an AI-powered caption generation tool using Gemini AI API. Allows users to generate creative and context-based social media captions instantly. Built using React.js for frontend and Node.js/Express for backend integration. Focused on UI simplicity and speed, providing instant and engaging AI-generated content.
MERN Stack Development Course
Sheriyans Coding School
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a strong interest in modern web development and AI integration, aligning with innovative and fast-paced environments. The focus on personal projects and a certification indicates self-driven learning and initiative. However, the lack of professional experience or team-based projects makes it difficult to fully assess cultural fit regarding collaboration, conflict resolution, or adaptability within an organizational structure. The projects are diverse within the MERN stack and AI integration, showing a breadth of technical interest.
Soft Skills & Operational Fit
The candidate lists problem-solving, team collaboration, communication, and continuous learning as soft skills. While these are valuable, there is no direct evidence from the provided data (e.g., work experience, team projects) to assess their practical application or operational fit in a team environment. The projects are personal, limiting insight into collaboration or complex problem-solving within a team context.