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Entry-Level Full Stack Developer with MERN stack and RESTful API expertise
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Entry-Level Software Engineer / Full Stack Developer with hands-on experience in MERN stack, RESTful API development, and database-driven applications. Completed a 6-month software internship, building scalable web and mobile solutions using React, Node.js, MongoDB, and Flutter. Strong foundation in problem-solving and end-to-end full-stack web application development.
G H Patel College of Engineering And Technology
Bachelor of Engineering · Computer Engineering
N/A – June 30, 2025
St Mary's School - Dahod
HSC
N/A – May 31, 2021
St Mary's School - Dahod
SSC
N/A – May 31, 2019
TENUP Software
SOFTWARE INTERN
January 1, 2025 – June 1, 2025
Vadodara, Gujarat, India
PropertyRent Platform
June 27, 2026 – Present
Developed a property rental web application using Node.js, Express.js, JavaScript, and EJS templates. Used MongoDB with Mongoose for database management and schema design. Integrated map APIs for property location visualization. Implemented authentication using Passport.js and backend validation using Joi. Followed SDLC practices throughout the project lifecycle. Performed debugging and testing to ensure reliable API integration. Designed and executed manual test cases to validate user flows, authentication, and property listing features. Tested REST APIs using Postman to verify request/response data and error handling.
Food Ordering Website
June 27, 2026 – Present
Built a full-stack food ordering web app with authentication and order tracking. Built REST APIs using Node.js and Express.js and managed data using MongoDB. Implemented frontend components using React.js and handled CRUD operations. Performed functional testing of user registration, login, ordering, and workflow scenarios. Validated CRUD operations and database updates through manual testing and API testing.
Food Ordering System
June 27, 2026 – Present
Developed a complete food ordering system consisting of Admin app, User app, and Restaurant app. Built frontend mobile applications using Flutter (Dart) for multiple user roles. Implemented backend services using Node.js and integrated Firestore as the database. Used Firebase Cloud Messaging for real-time notifications and map APIs for location-based features. Conducted manual testing of mobile applications across different user roles to ensure workflow accuracy. Tested API integrations, notifications, and location-based features for functional correctness.
Property Price Prediction
June 27, 2026 – Present
Built a machine learning model to predict property prices based on location and property features. Used Python for data preprocessing and model training. Worked with a real-world dataset sourced from 99acres. Validated data accuracy and tested model outputs using multiple test inputs.
Cultural Fit Analysis
The candidate's academic projects demonstrate a breadth of interest in web development (MERN stack), mobile development (Flutter/Node.js), and even a basic foray into machine learning. This diversity suggests an adaptable and curious individual. The internship experience aligns well with a Full Stack Engineer role, indicating a practical application of learned skills. The projects are relevant to the target role, showing a proactive approach to skill development. However, all projects are academic, and the internship is yet to commence, which limits the assessment of real-world team collaboration and problem-solving in a professional setting.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work through the full SDLC, perform testing, and collaborate in an Agile environment during their internship. The academic projects show initiative in building complete applications. However, without specific psychometric or English test scores, a detailed assessment of soft skills like logical reasoning, work attitude, stress handling, and team collaboration cannot be fully provided. The communication quality in project descriptions is adequate but could be more detailed regarding challenges and solutions.