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furk4neg3/README.md

Hi there! I'm Furkan Egecan Nizam 👋

 

🚀 About Me

I'm an AI Engineer, Data Scientist, and AI Integration Specialist with 2+ years of experience in AI-driven solutions, specializing in machine learning, deep learning, and secure AI models. I have worked at leading organizations in Türkiye and a Swedish startup, delivering impactful AI implementations in aerospace, blockchain security, and industrial applications.

 

💡 Expertise

-> AI Integration & Deep Learning (PyTorch, TensorFlow)

-> Data Science & Machine Learning

-> Blockchain & Federated Learning for AI Security

-> Cloud & DevOps (Microsoft Azure, Docker, PostgreSQL)

 

🏆 Achievements

-> Turkish Aerospace (TAI): Integrating AI into critical systems, reducing human-induced errors, and optimizing operational efficiency. Led discussions and AI-driven innovations, reducing processing time by 6x.

-> IEEE Blockchain Turkey: Developing a federated learning AI model on blockchain to ensure secure AI updates and encrypted data sharing.

-> Superstratum Ltd. (Sweden): Led AI development, enhancing product recommendations by 37% and accelerating development by 60%.

-> Ministry of Transport and Infrastructure: Developed AI models reducing bus crash reporting time by 91.6% and implemented a custom labeling system with 95%+ accuracy.

 

🎓 Education

📚 Gazi University, Ankara/Türkiye – B.Sc. in Computer Engineering (GPA: 3.93/4.00) (09/2022 – 06/2026)

 

📫 Get in Touch

📍 Location: Ankara, Türkiye

📧 Email: nizamfurkanegecan@gmail.com

🔗 LinkedIn: Furkan Egecan Nizam

 

🚀 Let's collaborate on AI-driven innovations!

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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