I'm a self-taught developer proficient in the MERN stack (MongoDB, Express.js, React, Node.js), and I enjoy building ful

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Rahul Or • Peerlist

I developed a scalable asset management system that integrates SCADA systems with BACnet, enabling real-time monitoring and management of industrial assets. The system uses Node-BACnet to facilitate seamless communication between SCADA systems and the backend, allowing for the efficient collection and processing of asset data. I designed a robust backend using Node.js and MySQL, ensuring smooth handling of real-time data updates, asset tracking, and condition monitoring.

To enhance the user experience, I implemented Mapbox for location tracking, allowing users to visualize asset locations on interactive maps in real-time. For media file storage and data management, I integrated AWS S3, ensuring secure, scalable, and cost-effective storage solutions. The project also features real-time notifications that alert users to critical asset conditions or performance issues, improving decision-making and reducing downtime. Additionally, I focused on optimizing the system's performance to handle thousands of concurrent requests, making it suitable for large-scale industrial environments.

Asset Management System with SCADA and BACnet Integration

I played a key role in developing the LearnForCare platform, leading the backend development using Node.js, Express, and MySQL. I handled server configuration with Nginx and integrated essential services such as Mailtrap for email management and Stripe for payment processing. I also hosted the platform on AWS EC2 and used AWS S3 for storing media files. Beyond backend development, I contributed to the frontend by focusing on API integration and implementing features like pagination. Additionally, I designed and implemented the matrix system used on the admin side to track and visualize user progress, ensuring a comprehensive and user-friendly experience.

learnforcare

Developed a video conferencing application featuring instant video calls, meeting scheduling, and a history view. Integrated meeting recording and personal meeting rooms to enhance the user experience. Leveraged Clerk for secure authentication and getstream.io for reliable video streaming. Utilized Next.js, Tailwind CSS, and Vercel to deliver a robust, responsive, and scalable solution.

Meetease

An AI-powered content generation tool that creates high-quality text effortlessly. Whether it's blog posts, social media captions, or marketing copy, this tool streamlines the content creation process with efficiency and creativity.

Scriptify (AI Content Generator)

Extension for Visual Studio Code, offering quick access to Font Awesome icons and seamless CDN integration. This extension enables users to customize icons directly within the editor, streamlining icon integration into web projects and enhancing efficiency. Built using Svelte, TypeScript, JavaScript, and CSS.