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B.Tech Computer Science student with hands-on MERN stack development experience and a passion for AI
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Assessing your cultural and operational fit
Results-driven B.Tech Computer Science student (AI Specialization, CGPA: 8.17) with hands-on experience in MERN stack (MongoDB, Express.js, React.js, Node.js) full-stack web development. Proven ability to build scalable and secure web applications featuring clean UIs and efficient backend logic, demonstrated through a comprehensive project management portal. Proficient in Java for object-oriented programming. Eager to apply strong problem-solving skills and a passion for emerging AI/ML technologies to contribute to impactful real-world projects in a collaborative software development environment.
Parul University
B.Tech · Computer Science and Engineering - Specialization in Artificial Intelligence
August 1, 2022 – June 30, 2026
Jeevan Jyothi Junior College
Intermediate (MPC) · Maths, Physics, Chemistry
June 1, 2020 – May 31, 2022
CTF Management Platform
September 1, 2025 – November 30, 2025
Built a cybersecurity challenge platform supporting multi-role access (Student/Admin/Superadmin) with real-time competition features. Developed a dual submission system combining flag-based verification and screenshot review workflow for challenge authenticity. Designed and implemented real-time leaderboards and an analytics-enabled admin dashboard for competition monitoring. Integrated Cloudinary for secure and scalable file storage, handling over 1000 monthly submissions. Created RESTful APIs using Express.js and MongoDB, with a responsive React.js + Tailwind CSS frontend.
Full-Stack E-commerce Platform for Farmers Market
June 1, 2025 – September 30, 2025
Developed a scalable e-commerce platform connecting farmers and customers with multi-role access (Customer, Farmer, Admin). Built backend using Node.js, Express.js, and MongoDB (Mongoose) for efficient data modeling and API management. Implemented JWT authentication with secure cookies and role-based access control for enhanced security. Integrated Cloudinary for image management and local storage for optimized media handling. Designed a Cash on Delivery (COD) payment workflow ensuring reliable and trackable order processing. Key Features: Multi-Role System: Customers (browse, cart, order, reviews, wishlists), Farmers (manage products, orders, analytics, profiles), Admins (analytics, user/product/order management). E-commerce Functionality: Real-time cart updates, order lifecycle tracking, stock validation, verified purchase reviews, and wishlists/favorites.
NPTEL Certification – Computer Networks (CN)
National Programme on Technology Enhanced Learning (NPTEL)
January 1, 2024 – Present
NPTEL Certification – Theory of Computation (TOC)
National Programme on Technology Enhanced Learning (NPTEL)
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a proactive approach to learning and applying full-stack development skills. The projects are diverse in their problem domains (cybersecurity platform, e-commerce), indicating adaptability. The certifications in Computer Networks and Theory of Computation show a commitment to foundational computer science principles. However, the lack of professional experience or extracurricular activities makes a comprehensive assessment of cultural fit challenging. The candidate is still pursuing a B.Tech degree, which aligns with an entry-level or junior role rather than a senior Fullstack Engineer position.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex, multi-faceted systems, suggesting good problem-solving and project management skills. The focus on real-time features and analytics implies an understanding of operational monitoring. However, without direct work experience or psychometric test results, it's difficult to assess stress handling, team collaboration, or direct communication skills in a professional setting.