SRIRAM SASHANK
Full-Stack Developer • India • s***********@gmail.com • 868****570 • linkedin.com/••••• • github.com/•••••
Career Objective
Full-Stack Developer with 0 years of experience building responsive web applications using React, Node.js, and MongoDB. Experienced in REST API integration, frontend state management, and deploying cloud-hosted applications. Seeking an entry-level role to contribute to product-focused engineering teams and grow in modern JavaScript stacks.
Education
KRISHNA CHAITANYA DEGREE COLLEGE
BCA • 2021 – 2024
JAIN UNIVERSITY
MCA • 2024 – 2026
Technical Skills
Programming Languages: JavaScript
Web Technologies: HTML,CSS
Frameworks and Libraries: React.js,Express.js,Bootstrap,Tailwind CSS
Databases: SQL,MongoDB,MongoDB Atlas,SQL databases
Cloud and DevOps: Vercel
Tools and Methodologies: Git,GitHub,VS Code,Postman
Productivity and OS: Microsoft Office,PowerPoint,MS Excel,Windows
Projects
Real-Time Food Tracking System
Tools Used: React.js, Node.js, Express.js, MongoDB, MongoDB Atlas, REST APIs, Vercel
- Built a full-stack food ordering and tracking platform using React for the frontend and Node.js/Express for the backend to support browsing, cart management, ordering, and live order updates.
- Designed and implemented RESTful APIs for product management and order processing, persisting data in MongoDB Atlas to enable cloud-hosted, scalable storage.
- Implemented real-time order status updates and dynamic cart behavior using client-side state and API polling for near-instant UX feedback across devices.
- Developed a responsive UI with Bootstrap and Tailwind CSS to ensure mobile-first layouts and cross-device compatibility.
- Implemented auto-generated order IDs, secure order submission flows, and validation to reduce erroneous orders and improve order integrity.
Smart Weather Dashboard
Tools Used: React.js, Node.js, Express.js, JavaScript, Browser APIs, REST APIs, Canvas API
- Developed a responsive weather analytics dashboard using React and integrated external weather APIs to surface real-time meteorological data by geolocation.
- Used browser Geolocation API and Network Information API to detect user location and optimize requests for a faster, location-aware experience.
- Implemented backend API proxies with Node.js/Express to securely fetch and normalize third-party weather data before delivering to the frontend.
- Visualized temperature, humidity, wind speed, UV index, pressure, and visibility using dynamic charts and Canvas API for clear trend presentation.
- Added smart weather recommendations and caching strategies to reduce API calls and improve perceived performance on repeated lookups.
E-commerce Website
Tools Used: MERN stack, React.js, Node.js, Express.js, MongoDB, REST APIs, Bootstrap
- Built a MERN-stack e-commerce application featuring secure user authentication, product browsing, cart management, and order processing.
- Implemented role-based access for admins and users, enabling admin product management and user-side order tracking and checkout.
- Designed RESTful backend endpoints with Express and Node.js to handle product CRUD, user sessions, and order lifecycle operations.
- Stored product catalogs, user profiles, and orders in MongoDB to support scalable data models and straightforward querying.
- Implemented responsive React components and client-side routing to deliver seamless navigation and consistent UX on mobile and desktop.
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