Final-year Computer Science and Engineering student at Manipal University Jaipur.
Focused on backend development, machine learning, and building systems that solve real problems.
Driven by an engineering mindset — creating practical, efficient solutions that make everyday life easier.
Committed to writing clean, reliable, and maintainable code.

Programming Languages: Java, Python, C, SQL
Backend & Databases: Flask, Firebase Firestore, REST APIs, MySQL
Machine Learning: NumPy, Pandas, Scikit-learn, PyTorch, TensorFlow
Tools & Environments: Git, GitHub, VS Code, IntelliJ IDEA, PyCharm
Systems & Concepts: Data Structures and Algorithms, Object-Oriented Design, Linux, Networking Fundamentals

Okay, goodbye. *disappears into nothing*

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1. PomegranateGuardPomegranateGuardPublic

   A web app using deep learning to detect pomegranate diseases from images, built with Flask, TensorFlow, and Keras.

   Jupyter Notebook 1

2. react-shivz-portfolioreact-shivz-portfolioPublic

   Portfolio made using ReactJS,Tailwind CSS and framer motion

   JavaScript

3. JobOnBoardJobOnBoardPublic

   A Job Portal website utilizing ReactJS, Tailwind CSS, and Firebase Firestore

   JavaScript

4. FraudFendFraudFendPublic

   A deep learning-based system for real-time detection of fraud in mobile payment transactions.

   Jupyter Notebook

5. AgroPredictAgroPredictPublic

   AI-powered IoT system for efficient, real-time smart irrigation management.

   Jupyter Notebook

6. DeepShieldDeepShieldPublic

   Classifies network traffic (normal/anomaly) using Machine Learning in Python. Leverages Kaggle's intrusion detection dataset, preprocesses features, trains models (e.g., Random Forest), and evaluat…

   Jupyter Notebook