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Yannick Stephan πŸ‘‹

AI ML engineer | Senior Software engineer

βœ‰οΈ Β Get in touch on LinkedIn & Stack Overflow 🌎


πŸ“‚ My Projects:

Machine Learning (ML):

  • 🧠 Brain MGMT Prediction: Comprehensive analysis and model development for MGMT prediction using an XGBoost ensemble with a U-Net-based feature extractor. | Kaggle |

Deep Neural Networks (DNN):

  • 🍷 Wine Quality Prediction: Utilized DNN to predict wine quality based on physicochemical properties. | Kaggle |

Computer Vision (CV):

  • 🧠 Brain MGMT Prediction: Developed a CNN-based model for prediction of the MGMT. | Kaggle |
  • 🌾 Rice Grain Classification: Employed CNN to classify different types of rice grains. | Kaggle |
  • 🚦 Traffic Sign Recognition (GTSRB): Developed a CNN-based model for real-time traffic sign recognition. | Kaggle |
  • ✍️ Handwritten Digit Classification (MNIST): Achieved high accuracy in classifying handwritten digits using CNN. | Kaggle |

Generative Adversarial Network (GAN)

  • 🚲 Bicycle Image Generation: Exploration of Generative Models (GAN) and its capabilities, focusing on the generation of bicycle. | Kaggle |

Natural language processing (NLP)

Base NLP Techniques

Vector / Semantic / Embeddings

Weaviate

Pinecone

ChromaDB

FAISS

Cohere

Semantic

Retrieval-Augmented Generation (RAG)

Question Answering

LLamaIndex

Tests

Large Language Model (LLM)

Basic Applications

Mistral

Langchain

Fine-Tuning

Fine-Tuning Options

Log Monitor Text Metrics

LLMOps

Vision

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