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furk4neg3/README.md

💫 About Me:

👋 Hi, I'm Furkan Egecan Nizam!
🎓 A 3rd-year Computer Engineering student at Gazi University with a stellar GPA of 3.93/4.00.
💡 Passionate about AI, machine learning, and data science, with hands-on experience in building LLMs, computer vision, NLP, and time series forecasting models.

🚀 I have earned multiple professional certificates, including:

  • IBM AI Engineering Specialization
  • IBM Deep Learning Specialization
  • Generative AI Engineering with LLMs Specialization

These programs equipped me with expertise in developing, fine-tuning, and deploying deep learning models and large language models (LLMs) using frameworks like TensorFlow, PyTorch, and Hugging Face Transformers.

🔧 Skilled in Python and experienced in data preprocessing, feature engineering, and visualization using tools like matplotlib and seaborn. My projects span diverse areas such as computer vision, time series forecasting, and classification models, alongside explorations of LLMs and Generative AI related problems like recommendation systems, question-answering pipelines, and generative AI models for NLP.

🌍 My goal is to advance AI technology by solving real-world problems and creating impactful, cutting-edge solutions.

📂 Feel free to explore my repositories to see my projects and experiments with AI technologies. Let's connect and collaborate!

🌐 Socials:

LinkedIn

💻 Tech Stack:

AssemblyScript C C# Python R AWS Azure Flask AmazonDynamoDB MySQL Keras Matplotlib NumPy Pandas Plotly PyTorch scikit-learn TensorFlow Scipy Git GitHub Java

📊 GitHub Stats:

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  1. Traffic-Volume-Forecasting Traffic-Volume-Forecasting Public

    Traffic volume forecasting with AI using bidirectional LSTM model and React frontend.

    Python 2

  2. rag-chatbot-pdf-question-answering rag-chatbot-pdf-question-answering Public

    This project demonstrates a Retrieval-Augmented Generation (RAG) chatbot that allows users to upload PDF documents and ask questions. The chatbot provides answers using the contents of the uploaded…

    Python

  3. IBM-Pretraining-LLMs-HuggingFace IBM-Pretraining-LLMs-HuggingFace Public

    A hands-on project on pre-training and fine-tuning large language models (LLMs) using Hugging Face. Includes loading pretrained models, inferencing, and self-supervised fine-tuning techniques to cu…

    Jupyter Notebook

  4. Aerial-Object-Detection Aerial-Object-Detection Public

    AI models for object detection using PyTorch with SkyFusion dataset that contains satelite images.

    Jupyter Notebook 1

  5. Environment-Image-Classification Environment-Image-Classification Public

    Image classification model using intel image classification dataset. Created 6 models using various techniques, which involves CNN and fine-tuning. Model works with 87% accuracy.

    Jupyter Notebook 2

  6. Inception_v1-GoogLeNet Inception_v1-GoogLeNet Public

    Replication of Going Deeper with Convolutions paper using TensorFlow, with one example of how to use it. This model is mainly used for image classification problems.

    Jupyter Notebook 2