Handling in Machine Learning and Artificial Intelligence, using technologies such as Python, TensorFlow, PyTorch, Scikit-learn, NLP: SpeechRecognition, OpenAI Speech-to-Text, Whisper, spaCy, NLTK. Vector databases: Pinecone, Weaviate, Milvus. Semantic search algorithms (FAISS). Data management: ETL, pre-processing and cleaning. Containers: Docker, Kubernetes. Cloud services: AWS SageMaker, GCP AI Platform, Azure ML.