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burakkyildiz/README.md

Hi, I'm Burak

AI / ML Engineer working on machine learning, deep learning, and LLM-based applications.
Focused on building clean, production-oriented ML systems.

Interests

  • Machine Learning & Deep Learning
  • Large Language Models (LLMs)
  • LLM-powered application development

Tech

  • Python
  • ML/DL: TensorFlow/Keras, PyTorch, scikit-learn
  • LLMs: OpenAI-compatible APIs, Ollama, OpenRouter
  • Data & Visualization: NumPy, Pandas, Matplotlib, Seaborn

Building end-to-end ML systems, with hands-on experience in LLM-based applications.

LinkedIn   Kaggle

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  1. langserve-sentiment-classifier langserve-sentiment-classifier Public

    LLM-powered sentiment classifier served via LangChain + LangServe + FastAPI (with Swagger/Playground).

    Python

  2. langserve-translation-api langserve-translation-api Public

    Local LLM translation API built with LangChain, LangServe, FastAPI, and Ollama (LLaMA 3.1).

    Python

  3. llm-engineering-lab llm-engineering-lab Public

    Hands-on projects exploring Generative AI and LLMs, including RAG, QLoRA fine-tuning, agents, multimodal systems, and model deployment.

    Jupyter Notebook

  4. deep-learning-lab deep-learning-lab Public

    Hands-on experiments and implementations of neural networks using Keras/TensorFlow and PyTorch.

    Jupyter Notebook

  5. LaptopPrice-MLDeployment LaptopPrice-MLDeployment Public

    A machine learning web application that predicts laptop prices based on hardware specs and is deployed using FastAPI.

    HTML

  6. CaliforniaHousing-XGBoostLightGBM CaliforniaHousing-XGBoostLightGBM Public

    Comparison of XGBoost and LightGBM performance before and after applying Box-Cox & Yeo-Johnson transformations on the California Housing dataset.

    Jupyter Notebook