Building intelligent systems that see, understand, and predict the world.
Turning data into insight, algorithms into impact, and models into real-world solutions.
I am a Data Scientist and AI Researcher passionate about designing intelligent, data-driven solutions.
I specialize in:
- 🧩 Deep Learning architectures (CNNs, LSTMs, Transformers)
- 🧠 Computer Vision and Visual Intelligence
- 💬 Natural Language Processing (BERT, GPT)
- 🔢 Predictive Modeling and Statistical Learning
- ☁️ Cloud ML Deployment and MLOps
- 📈 Scalable Data Engineering and Visualization
I love transforming raw data into meaningful stories and intelligent systems that make a difference.
| Category | Technologies |
|---|---|
| Languages | Python 🐍 · R 📊 · SQL 🧮 · Bash 🖥️ |
| Frameworks | TensorFlow · PyTorch · Scikit-Learn · FastAPI |
| Data Engineering | Pandas · NumPy · Spark · Airflow |
| Computer Vision | OpenCV · YOLOv5 · Detectron2 · U-Net |
| Cloud & DevOps | Docker · Kubernetes · AWS · GCP · GitHub Actions |
| Visualization | Matplotlib · Plotly · Tableau · Power BI |
pie title Technical Expertise
"Deep Learning": 30
"Machine Learning": 25
"Computer Vision": 20
"NLP": 15
"Data Engineering": 10
| 🧩 Preview | 🧠 Project | 🔍 Description |
|---|---|---|
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🖼️ Image Classifier | CNN-based model . 🔗 View Repo |
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🚘 Object Detection | Real-time YOLOv5 detection system for autonomous vehicles. 🔗 View Repo |
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💬 Sentiment Analysis | Transformer-based BERT model analyzing emotions from tweets. 🔗 View Repo |
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🎨 Generative Art GAN | Generative Adversarial Network creating synthetic artwork. 🔗 View Repo |
graph LR
A[Data Collection] --> B[Preprocessing]
B --> C[Feature Engineering]
C --> D[Modeling]
D --> E[Evaluation]
E --> F[Deployment]
F --> G[Monitoring & Feedback]
style A fill:#E6E6FA,stroke:#4a2a9f
style G fill:#E6E6FA,stroke:#4a2a9f
- Hybrid CNN-Markov Models for medical imaging
- Explainable AI (XAI) for interpretability in healthcare AI
📖 I regularly publish experimental findings and contribute to open-source projects in these domains.
- 🧠 I think in vectors, visualize in matrices, and dream in neural networks.
- ☕ Coffee + Jupyter Notebook = Perfect Morning.
- 🌌 Currently exploring generative models inspired by physics.
This profile README is © 2025 AliReza Khatibi.
Free for educational and inspirational reuse with attribution.




