Hey — I’m Shiv Jee Yadav, a 3rd‑year Electrical Engineering student at IIT Jodhpur. I’m passionate about building data‑driven systems that bridge theory and hardware, and I enjoy tackling open‑ended problems that require both rigorous modeling and practical engineering. My core data science strengths include Natural Language Processing, Transformer architectures, deep learning (CNNs, RNNs, attention mechanisms), Generative Adversarial Networks (GANs), Gaussian processes, probabilistic modeling, Bayesian inference, transfer learning, representation learning, and practical experience with PyTorch, TensorFlow, and scikit‑learnI’m comfortable with feature engineering, embeddings, tokenization, sequence modeling, hyperparameter tuning, and robust model evaluation.
In AIoT and embedded systems I work on sensor interfacing, microcontrollers (ARM/AVR), real‑time data acquisition, edge inference techniques such as quantization and model compression, latency–accuracy tradeoffs, and control fundamentals like PID design and state estimation. In the core electrical domain I focus on circuit analysis, PCB prototyping, signal conditioning, ADC/DAC workflows, hardware–software co‑design, power and control systems, and designing secure, resilient architectures for networked devices.
- 🔭 Currently Working On: Project based on YOLO, Backend Development, Frontend Reactjs .
- 🔬 Interests: AI/ML, Embedded Systems, Cybersecurityand Space Tech.
| Project | What it is | Tech Stack |
|---|---|---|
| 🛡️ Network Intrusion Detection | A robust security system using ML to classify network traffic and detect anomalies in real-time. | Python Scikit-Learn Pandas CyberSec |
| 📉 FiberFreqNet — Image‑Driven Frequency Estimation | Deep Learning applied to Plastic Optical Fiber (POF) data. Analyzes signal patterns for classification. | PyTorch Deep Learning Signal Proc |
| 🛰️ Orbital Debris Risk Analysis | Assessing collision risks for 574,000+ objects. Built a dual-inference AI model (Space Debris Conference). | Python PyTorch Optuna Stats |
| ⚙️ Satellite Reaction Wheel | High-precision stabilization system. Integrated mechanical dynamics with embedded C++. | C++ Embedded PID SolidWorks |
| 🌳 Memory-Optimized ID3 | Decision tree classifier built from scratch. Optimized memory structure to cut execution time by 15%. | C++ Algorithms Memory Mgmt |
| 💻 CPU Cache Simulator | Direct-mapped cache simulator. Tracks hit/miss ratios and evictions to visualize architecture. | C++ Systems Architecture |
Check my Repositories to see the code.
