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Full Stack Engineer with less than a year in Node.js & MongoDB.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Science undergraduate with strong experience in full-stack web development and backend engineering. Proficient in building scalable web applications, RESTful APIs, and database-driven systems, with a focus on clean architecture, performance, and real-world usability.
Dronacharya Group of Institutions
B.Tech. · Computer Science Engineering
N/A – June 30, 2026
D.A.V. Public Schools
12th
N/A – May 31, 2022
D.A.V. Public Schools
10th
N/A – May 31, 2020
E-Commerce Web Application
January 1, 2024 – June 30, 2024
Developed a backend-driven e-commerce application using Node.js and Express.js, implementing RESTful APIs for users, products, carts, and orders. Designed MongoDB schemas and implemented full CRUD operations with proper request validation and error handling. Implemented user authentication and authorization with protected routes and middleware-based access control. Built complete cart and checkout workflows, focusing on secure data flow and scalable backend architecture.
Sci-Cart - Service-Based E-Commerce Backend
January 1, 2024 – June 30, 2024
Designed and developed a service-oriented e-commerce backend system handling service listings, user management, and order workflows. Built modular REST APIs with Express.js, emphasizing clean routing, middleware usage, and reusable business logic. Implemented structured MongoDB data models and optimized query handling for consistent API performance. Tested and validated API endpoints using Postman to ensure production-ready behavior.
AI-Integrated Web Application
January 1, 2024 – June 30, 2024
Integrated machine learning models into backend services and exposed predictions through REST APIs. Designed API endpoints to serve ML-driven outputs for frontend consumption in real-world use cases. Focused on clean API contracts, response optimization, and seamless AI-backend integration.
AWS Academy Cloud Foundations Badge
AWS Academy
June 1, 2026 – Present
BrowserStack Test Automation Certification
BrowserStack
June 1, 2026 – Present
Foundation Course on IR4.0 Technologies Certificate
Unknown
June 1, 2026 – Present
Udemy Feature Engineering Step by Step Certificate
Udemy
June 1, 2026 – Present
Udemy Machine Learning Online Course Certificate
Udemy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a focus on practical application of learned skills, particularly in e-commerce and AI integration, which aligns with common industry needs. The breadth of certifications (AWS, ML, Test Automation) indicates a proactive approach to learning and skill development. However, the lack of professional experience makes it challenging to fully assess cultural fit in a corporate environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on structured development tasks, focusing on clean architecture, modularity, and API design. The academic nature of projects suggests a learning-oriented individual. However, without direct work experience or psychometric test results, it's difficult to assess stress handling, team collaboration, or specific work attitudes.