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AliRezaKhatibi/README.markdown

👋 Welcome to My AI & Data Science Universe

Waving Hand

💡 Data Scientist · Deep Learning Engineer · AI Innovator

Building intelligent systems that see, understand, and predict the world.
Turning data into insight, algorithms into impact, and models into real-world solutions.

GitHub followers LinkedIn X Email


AI brain animation

🧠 About Me

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.


⚙️ Core Tech Stack

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

📊 Skill Level Overview

pie title Technical Expertise
  "Deep Learning": 30
  "Machine Learning": 25
  "Computer Vision": 20
  "NLP": 15
  "Data Engineering": 10
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🚀 Featured Projects

🧩 Preview 🧠 Project 🔍 Description
Image Classifier 🖼️ Image Classifier CNN-based model . 🔗 View Repo
Object Detection 🚘 Object Detection Real-time YOLOv5 detection system for autonomous vehicles. 🔗 View Repo
NLP 💬 Sentiment Analysis Transformer-based BERT model analyzing emotions from tweets. 🔗 View Repo
GAN 🎨 Generative Art GAN Generative Adversarial Network creating synthetic artwork. 🔗 View Repo

🧬 AI Domains I Work In

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
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🧩 My Current Research Focus

  • 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.

📈 GitHub Analytics

GitHub Stats Top Langs



🛠️ Tools & Platforms

Jupyter MySQL Git Docker Kubernetes AWS


🌐 Let's Connect

LinkedIn GitHub Twitter Email

📫 Let’s build something extraordinary together!

Contact

🧩 Fun Facts

  • 🧠 I think in vectors, visualize in matrices, and dream in neural networks.
  • ☕ Coffee + Jupyter Notebook = Perfect Morning.
  • 🌌 Currently exploring generative models inspired by physics.

🧾 License & Attribution

This profile README is © 2025 AliReza Khatibi.
Free for educational and inspirational reuse with attribution.


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  1. titanic-survival-prediction titanic-survival-prediction Public

    🏆 Kaggle Titanic ML Pipeline

    Jupyter Notebook 1

  2. GREEN-Pro GREEN-Pro Public

    A professional desktop application for CSV data health analysis, cleaning, visualization, comparison, and reporting.

  3. Regression-Models Regression-Models Public

    Notebooks covering various regression techniques (linear, logistic, polynomial, etc.) with examples and datasets.

    Jupyter Notebook 1

  4. 15-Class-CNN-Classifier 15-Class-CNN-Classifier Public

    📌 **15-Class Image Classifier** using EfficientNetB0 & TensorFlow/Keras A transfer learning model for multi-class image classification with data preprocessing, visualization & evaluation. 🔧 **Tech …

    Jupyter Notebook 1

  5. Digital-image-processing Digital-image-processing Public

    Digital image processing is a branch of digital signal processing that tries to use and apply image processing computer algorithms in digital images.

    Jupyter Notebook 1

  6. lightweight-human-pose-estimation.pytorch lightweight-human-pose-estimation.pytorch Public

    Forked from Daniil-Osokin/lightweight-human-pose-estimation.pytorch

    Fast and accurate human pose estimation in PyTorch. Contains implementation of "Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose" paper.

    Python