Engineering student focused on backend systems, machine learning applications, and full-stack development.
I prioritize clean architecture, scalability, and real-world usability over academic demos.
- Languages: Python, JavaScript
- Frameworks: Flask, React
- Tools: Docker, Git/GitHub, Linux
- Interests: ML systems, system design, mobile apps (React Native)
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System Monitoring & Forecasting
Resource monitoring and analytics system with forecasting capabilities.
🔗 https://github.com/NYN-05/System-Monitoring -
Email Scam Detector (ML)
Text classification pipeline for detecting scam emails.
🔗 https://github.com/NYN-05/MiniProject -
Sports Android – AI Fitness App
Mobile app using pose detection with backend integration.
🔗 https://github.com/NYN-05/Sports_android
Building practical systems, not just writing code.