I design and deliver production-oriented machine learning systems with a strong emphasis on reliability, scalability, and measurable outcomes.
My work covers classical machine learning, deep neural architectures, generative models, and agentic systems.
I operate primarily within the Python ecosystem and leverage modern frameworks including PyTorch, TensorFlow, Keras, and Hugging Face to build end-to-end solutions — from data pipelines and model development through evaluation and deployment.
Python |
Linux |
PyTorch |
TensorFlow |
Keras |
Hugging Face |
NumPy |
Pandas |
Matplotlib |
Seaborn |
OpenCV |
Docker |
Machine Learning Deep Learning Neural Networks Generative AI Agentic AI Computer Vision Python Threading
| 🎓 Degree | 🏛️ Institution | 📅 Year |
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| Bachelor of Computer Engineering | Islamic Azad University, South Tehran Branch | 2025 – Present |
Python → Data → ML → DL → Computer Vision → Generative AI → Agents → MLOps
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Deep learning model for detecting brain tumors from medical imaging data.
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Detection of dental issues using radiology images and computer vision techniques.
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Machine learning system that predicts possible diseases based on patient symptoms.
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Predicting heart disease using electrocardiogram (ECG) signals.
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Disease prediction based on corneal eye images.
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Predicting diabetes using corneal eye imagery and deep learning models.
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