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Full Stack Engineer with less than a year in MERN stack and AI-enhanced applications.
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Assessing your cultural and operational fit
Kavy Sharma is a driven Junior Full Stack Developer with 6 months of experience, specializing in Node.js, Express.js, and MongoDB. Proven ability to optimize database operations, integrate front-end services with React Query, and contribute to full-stack development in Agile environments. Experienced in building AI-enhanced applications using Next.js, Tailwind CSS, and PostgreSQL.
PDPM, Indian Institute of Information Technology
B.Tech. · Electronics and Communication
N/A – June 30, 2026
Theody Svadhyay Trailblazer
Full Stack Developer Intern
March 1, 2024 – August 1, 2024
India
Hotel Booking Website – MERN Stack (Booking.com Clone)
December 1, 2024 – January 1, 2025
Developed a full-stack web application replicating Booking.com using the MERN stack (MongoDB, Express.js, React.js, Node.js). Implemented hotel search and filter functionality based on price, location, and availability to improve user experience. Built an admin dashboard for managing hotels, rooms, and user data with complete CRUD operations. Integrated SCSS and JavaScript to deliver a dynamic and responsive UI.
Expense Tracker – Full-Stack AI-Enhanced Expense Dashboard
July 1, 2024 – September 1, 2024
Developed a full-stack expense management system using Next.js, Tailwind CSS, PostgreSQL, and Drizzle ORM, integrating authentication with Clerk Auth. Implemented features for budget creation, expense logging, and dashboard analytics using modular and reusable code practices. Enhanced the platform with AI-powered insights including automated expense categorization and anomaly detection using GenAI/ML concepts. Deployed the application on Vercel, demonstrating production-ready cloud deployment and full-stack architecture.
3-Star rating on CodeChef
CodeChef
June 1, 2026 – Present
CodeRumble
IIIT Jabalpur
June 1, 2026 – Present
NPTEL Operating System Fundamentals
NPTEL
June 1, 2026 – Present
Flipkart GRID 7.0
Flipkart
January 1, 2025 – Present
Amazon ML Summer School
Amazon
January 1, 2025 – Present
Cultural Fit Analysis
The candidate demonstrates a strong drive for learning and self-improvement through participation in various coding contests, certifications (Amazon ML Summer School, NPTEL OS), and personal projects. The diversity of projects (expense tracker, booking website) and technologies used (MERN, Next.js, PostgreSQL, Drizzle ORM) indicates adaptability and a willingness to explore different tools. The 'Operations & Management Lead' role suggests leadership potential and engagement in extracurricular activities, which aligns with a proactive and collaborative team culture.
Soft Skills & Operational Fit
The candidate's resume highlights 'Communication, Collaboration, Leadership, Time Management, Problem Solving' as soft skills. The internship description mentions collaboration in an Agile environment. The 'Operations & Management Lead' role further suggests organizational and leadership capabilities. These indicate a good operational fit for team-based development.