I'm a Machine Learning & Deep Learning engineer passionate about building intelligent, modular systems with clean architecture and reproducible workflows. My focus lies in Artificial Neural Networks (ANNs), Convolutional Neural Networks (CNNs) and scalable ML pipelines, with an eye for professional presentation and open-source best practices.
- 🎓 Self-taught ML/DL practitioner with a strong foundation in Python and neural networks
- 🧰 Architecting modular, config-driven pipelines for training, evaluation, and visualization
- 📊 Passionate about performance diagnostics, reproducibility, and clean Git workflows
- 🚀 Exploring advanced regularization, model optimization, and collaborative ML tooling
| Project Title | Description | Tech Stack | GitHub Link |
|---|---|---|---|
| Garbage Classification with Transfer Learning | Benchmarks CNN vs. transfer learning models (ResNet50, MobileNetV2, EfficientNetB0) for image-based garbage classification. Includes training, evaluation, confusion matrices, and visual diagnostics. | Python, TensorFlow, Keras, NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn | View Repo |
| Chest X-ray COVID-19 Classification | Deep learning pipeline for classifying chest X-ray images into COVID-19, pneumonia, and normal cases. Includes preprocessing, CNN modeling, training, and evaluation with visual metrics. | Python, Pandas, NumPy, Matplotlib, Seaborn, TensorFlow, Keras, Scikit-learn | View Repo |
| Student Performance Prediction (DL) | End-to-end deep learning pipeline for analyzing student academic performance. Includes EDA, preprocessing, regression, classification, and evaluation. | Python, Pandas, NumPy, Matplotlib, Seaborn, TensorFlow, Keras, Scikit-learn | View Repo |
| LSTM Google Stock Price Forecasting | Predicts Google stock prices using LSTM neural networks, with preprocessing, modeling, and visualization | Python, Pandas, NumPy, Matplotlib, Scikit-learn, TensorFlow, Keras | View Repo |
| CNN Image Classifier | Modular CNN built with TensorFlow/Keras, includes training notebook, sample dataset, and performance plots | Python, Pandas, NumPy, Matplotlib, Seaborn, TensorFlow, Keras, Scikit-learn | View Repo |
| Lung Cancer Prediction (ML) | Predicts cancer likelihood using ML classifiers. Includes preprocessing, model training, and evaluation. | Python, Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn | View Repo |
📧 arianjafar59@gmail.com
💡 Open to collaborations, feedback, and discussions around ML, DL, and reproducible AI workflows.
⭐ “Code. Learn. Iterate. Intelligence is built, one model at a time.”