👨‍💻 M.Tech CSE @ Amrita Vishwa Vidyapeetham | Software Engineer | Published Researcher & Developer

Welcome to my GitHub! I’m a driven and dedicated developer with a background in Computer Science & Engineering, holding a B.Tech from Karunya Institute of Technology and Sciences and currently pursuing my Master’s in Computer Science with a specialization in Artificial Intelligence and Machine Learning at Amrita Vishwa Vidyapeetham. My journey is fueled by a passion for developing impactful technologies in the fields of machine learning, IoT, and software engineering.

• 🌱 Passionate Full-Stack and React Native Developer: I enjoy building unique backend projects in Node.js, and I specialize in React, React Native, Node.js, and database management (SQL/NoSQL). My projects often involve real-time applications, such as the real-time chat app I built with React Native and Firebase, where I optimized codebase efficiency, reduced build times by 30%, and enhanced app stability through testing and continuous integration.

• 📚 Researcher in AI & ML: I’m dedicated to advancing the field of AI and machine learning, particularly through my research work. My conference paper, "Enhancing Sequential Recommendations with Bi-Directional Models: A Comparative Analysis," and "Machine Learning Based Item Recommendation System for Surplus Item Sharing System" have both been published on IEEE Xplore.

• 🔍 Research Interests: My research projects focus on improving medical image classification using Vision Transformers, with an emphasis on implementing Multi-Scale Attention Mechanisms. Additionally, I’m exploring the application of Vision Transformers in IoT devices for real-time image analysis, with the pathMNIST dataset for experimentation.

• 🧠 Machine Learning Enthusiast: I’ve designed innovative solutions using Bi-LSTM models for sequential recommendation systems, capturing evolving user preferences to deliver personalized recommendations with improved accuracy. I’m currently involved in exciting projects in machine learning for healthcare and am keen to tackle real-world challenges using predictive models, regression analysis, and Vision Transformers.

• Languages & Frameworks: C++, JavaScript, React, React Native, Node.js, Express.js
• Machine Learning & AI: Vision Transformers, Bi-LSTM, Sequential Recommendations, Multiple Regression
• Databases: MongoDB, SQL, NoSQL
• Cloud & IoT: Google Cloud, Arduino IDE, NodeMCU, Thingspeak, and serverless computing
• Algorithms & Problem Solving: Data Structures and Algorithms (DSA), Object-Oriented Programming (OOP), STL in C++

• 📃 Published Research Papers:

  • "Enhancing Sequential Recommendations with Bi-Directional Models: A Comparative Analysis" - IEEE Xplore
  • "Machine Learning Based Item Recommendation System for Surplus Item Sharing System" - IEEE Xplore

• 🌐 Innovative Projects:

  • Real-Time Chat App: Created using React Native and Firebase, optimized for efficiency with a reduced build time of 30%.
  • Social Media Web Application: Built with React, Node.js, and MongoDB, using optimized React components and code-splitting for reduced load times.
  • Vision Transformer for Medical Image Classification: Currently implementing Multi-Scale Attention Mechanism for image analysis in healthcare applications.

• LinkedIn: linkedin.com/in/sarathi
• GitHub: github.com/sarathi
• Tech Blogs: I love sharing insights and tech trends in AI, ML, and IoT through various blogs.

Thanks for stopping by, and feel free to explore my repositories. Let’s connect and work on creating impactful solutions together! 🚀