I'm a MERN Stack Developer with a strong passion for Artificial Intelligence and Machine Learning. My journey in tech is driven by curiosity, adaptability, and a desire to solve real-world problems with innovative solutions.

• Artificial Intelligence & Machine Learning:
  • Exploring advanced models and integrating ML algorithms into web applications for predictive analytics.
• Full-Stack Development:
  • Skilled in building responsive, dynamic, and scalable applications using the MERN stack (MongoDB, Express, React, Node.js).
• Data Analytics:
  • Utilizing analytics techniques to derive actionable insights from data and enhance decision-making processes.

• Advanced Data Analytics through the Google Advanced Data Analytics Professional Certificate.
• Scaling full-stack applications using modern JavaScript frameworks.
• Database management with the Meta Database Engineer Professional Certificate.

1. Web Developer Intern - Bharat Intern

   • Built and deployed Content Management Tool and Project Management Tool using Node.js and MongoDB.
   • Developed a real-time chat application with WebSockets for instant communication.

2. Machine Learning Intern - CodSoft

   • Worked on Spam SMS Detection using NLP techniques and machine learning algorithms.
   • Built a Customer Churn Prediction model, leveraging data analytics and visualization techniques to identify key churn factors.

3. Data Analytics Trainee - MedTour Easy

   • Completed the Google Data Analytics Professional Certificate, gaining expertise in data cleaning, analysis, and visualization.
   • Worked on a project titled "Analyze Death Age Difference of Right-Handers vs. Left-Handers", utilizing Python and statistical analysis techniques to derive insights.

• Secure Password Manager App (React, Tailwind, MongoDB):
  • Developed a secure password manager with user authentication and encrypted data storage.
  • Implemented a responsive UI using TailwindCSS.
• Creator Support Platform (Next.js):
  • Developed a platform similar to Patreon for user subscriptions and content management with a user-friendly interface.
• E-commerce Shoe Store Backend (Node.js, Express.js, MongoDB):
  • Built the backend for an e-commerce shoe store, enabling features for users to browse products, add items to cart, and place orders.
  • Implemented admin functionalities for inventory management, product updates, and order processing.
• Spotify Clone (HTML, CSS, JavaScript):
  • Created a Spotify clone with playlist management, responsive design, and playback controls.
• Twitter Clone (HTML, Tailwind CSS, JavaScript):
  • Built a Twitter homepage with navigation, content feed, and user interactions, ensuring a responsive experience across devices.
• Video Chat Application (WebRTC, Node.js, Express):
  • Developed a real-time video chat application using WebRTC for peer-to-peer communication.
  • Integrated features like user authentication, room creation, and live video streaming.

• MERN Stack Projects: Open to innovative web development projects.
• AI-Powered Web Applications: Interested in integrating ML models into applications.
• Open Source Contributions: Actively seeking opportunities to contribute to meaningful open-source projects.

1. Dynamic Transportation Problem

   • Conference: IEEE World Conference on Applied Intelligence and Computing (AIC 2024)
   • Details: Published as a book chapter in the SCRS book titled “Applied Intelligence and Computing”. It explores innovative optimization techniques for dynamic transportation problems.
   • Link: Check it out here

2. **Machine learning for smarter supply chains: A playbook for next-generation inventory optimization **

   • Conference: International Symposium on Computational Science and Supply Chain Management (ISCCSC 2024)
   • Publication: To be published by Routledge Taylor & Francis Group and CRC Press.
   • Details: This paper discusses ML models for enhancing inventory management.
   • Link: Check it out here

3. CNNs for Weather Prediction: Custom vs. Transfer Learning

   • Conference: International Conference on Innovative Computing and Communication (ICICC)
   • Publication: Accepted for publication in the Springer LNNS series. It compares custom CNNs with transfer learning models like VGG16 and ResNet152V2 for weather forecasting.

4. A Comparative Study of Ensemble Learning Models in Predicting Air Quality Index (AQI) Across Global Cities

   • Conference: Doctoral Symposium on Computational Intelligence (DoSCI-2025)
   • Publication: Accepted for publication in the Springer LNNS series, indexed by Scopus, WoS, EI, and DBLP.

• 📧 Email: rahulrajsingh2503@gmail.com
• 💼 LinkedIn

• Languages: Python, Java, JavaScript, SQL
• Frameworks & Libraries: Node.js, Express.js, React, Next.js, TailwindCSS
• Databases: MongoDB, MySQL, SQLite, DBMS
• Operating Systems: Windows, Mac, Linux
• Computer Networking & Software Engineering: Skilled in core concepts and implementations.
• Tools & Technologies: Git, Docker, WebRTC, VS Code, MS Office, MS Excel
• Cloud Platforms: AWS, IBM Cloud
• Soft Skills: Leadership, Event Management, Public Speaking, Anchoring, Auditioning, Adaptability, Problem-Solving

• I'm like a tech sponge — throw any new technology or framework my way, and I'll soak it up quickly. Whether it’s learning a new programming language or debugging tricky issues, I thrive on solving problems and adapting to new challenges! 😄💻