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Backend Engineer with 1+ years in Node.js, Django, and MongoDB.
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I'm an inquisitive individual who is always eager to learn and explore new things. I am passionate about web development, Data Science and Data structures. I'm looking forward to work with an organisation that can provide a diverse range of opportunities, allowing me to expand my skills and knowledge while contributing to the achievement of organisational goals.
Punjab University UIET-Hoshiarpur
B.E. (CSE) · Computer Science Engineering
November 1, 2021 – May 1, 2025
Kendriya Vidyalaya
12th-CBSE
N/A – May 31, 2020
StudyNotation
June 28, 2026 – Present
A full-stack MERN project featuring user roles (Student, Instructor, Admin). Implements multiple pages: About, Catalog, Contact Us. Supports secure user authentication and authorization using JWT and Bcrypt. Enables students to register/login and purchase courses. Instructors can manage course content (Add/Delete). Admin has access to dashboard analytics (total students, courses, instructors, etc.). Focused on creating a scalable and secure platform for e-learning
Cabbie
June 28, 2026 – Present
This project is developed using the Django Rest Framework (DRF) and includes several integrated features to provide a seamless cab booking experience for organizations. Authentication is implemented using JWT tokens, ensuring secure access. Real-time communication is enabled via WebSockets for chat functionality. Additionally, the CashFree payment gateway is integrated to facilitate monthly payments from organizations Cabbie is a platform designed to allow companies to register and manage cab services for their employees at a minimal monthly fare. Once registered, a company can onboard its employees onto the platform. The platform enables company administrators to group employees based on their addresses. Using these groups, tenders can be generated, which are then visible to drivers. Each tender includes details such as the number of employees, pickup addresses, and route information. Interested drivers can submit monthly rental offers for these tenders. An in-app chat system allows administrators to negotiate rental prices directly with drivers. Once a driver's offer is accepted, employees can view the complete details, including the monthly fare, driver profile, and ride information.
View ProjectCultural Fit Analysis
The candidate's involvement in diverse projects (e-learning platform, cab booking system) and stated passion for web development, data science, and data structures indicates a broad interest in technology and a willingness to explore different domains. This diversity suggests a good cultural fit for organizations that value versatility and continuous learning. The academic background in Computer Science Engineering further supports a foundational alignment with technical roles.
Soft Skills & Operational Fit
The candidate's profile indicates an inquisitive and eager-to-learn individual, which suggests a positive attitude towards continuous improvement and adaptability. The project descriptions highlight an ability to work on complex, multi-user systems, implying good organizational and planning skills. However, without specific psychometric or English test results, a comprehensive assessment of soft skills, stress handling, and team collaboration is not possible.