About Me
Hi, I’m Shiv Jee Yadav, a third-year B.Tech student in Electrical Engineering at IIT Jodhpur with a specialization in Artificial Intelligence of Things (AIoT). My academic journey bridges core electrical engineering domains—such as electromagnetics, circuit theory, control systems, and communication systems—with cutting-edge areas like machine learning, pattern recognition, and quantum information. I’ve built a strong foundation through hands-on projects in cybersecurity, intelligent systems, and embedded electronics, including a high-accuracy Network Intrusion Detection System (NIDS), a custom-built Decision Tree Classifier in C++, and a sensor-stabilized CanSat for atmospheric data collection. I actively refine my problem-solving skills, having solved over 400+ challenges on LeetCode, and am proficient in C, C++, Python, JavaScript, and MATLAB. I work comfortably across Linux and Windows environments using tools like Git, Jupyter, Simulink, and SolidWorks. I'm also certified in Cybersecurity Fundamentals by IBM SkillsBuild and have completed hands-on labs on TryHackMe. What drives me is the pursuit of innovation at the intersection of electrical systems and intelligent technologies. I’m deeply motivated to contribute to impactful scientific infrastructures, and I aspire to work on global-scale engineering challenges that require interdisciplinary thinking, curiosity, and creativity.
Skills
Programmming Language
Web Development
Design Tools:
Programming & Environments:
Data Science & Libraries:
Linux & Shell
Projects
Network Intrusion Detection System (NIDS)
- Built ML-based NIDS using Python, Scikit-learn, Optuna, XGBoost, and React.js.
- Achieved 99.66% accuracy on 25K+ records via tuned Random Forest and XGBoost models.
- Applied mutual information for feature selection to reduce overfitting.
- Implemented SVM, KNN, and Decision Trees from scratch to compare accuracy and latency.
- Developed a React.js dashboard simulating real-time packet monitoring and visualization.
Decision Tree Classifier (ID3)
- Implemented ID3 algorithm in C++ using object-oriented design.
- Achieved 93.5% accuracy on a 1,700-row dataset.
- Manually calculated entropy and information gain; visualized node splits.
- Designed recursive tree-building with custom node and branching structures.
Student Attendance Management System
- Developed a CLI tool in C for managing student attendance with file-based storage.
- Supported add, update, and delete operations with validation and error handling.
- Optimized file I/O for fast access and updates of records for 100+ students.