Patrik-Jordy-Johhan Bobcsok

• Developing machine learning and AI projects with focus on real-world applications • Built a CNN image classification model (Animals-10 dataset) achieving over 80% accuracy • Implemented data preprocessing, augmentation, and class imbalance handling techniques • Developed a medical AI assistant (RAG-based) using LangChain, Pinecone, and OpenAI APIs • Designed end-to-end pipelines including data ingestion, vector search, and response generation • Working with Python, TensorFlow, Scikit-learn, and

• Intensive bootcamp focused on Machine Learning, Deep Learning, and AI systems • Built real-world projects including CNN image classification and RAG-based AI applications • Hands-on experience with Python, TensorFlow, Scikit-learn, and modern AI tools • Worked with data preprocessing, model