Natural language processing techniques

data engineering , ELT, Tensorflow, Git, Pytorch, MLops, Docker, Terraform, XGBoost, Kubernetes, Python, Etl, AWS, scikit-learn, MLflow, SageMaker, Kubeflow

BigQuery, Data Cleaning, Sql, Docker, Azure, Python, Statistical Analysis, Machine Learning Algorithms, AWS, advanced prompting strategies, embeddings, Agent-to-Agent A2A orchestration, Model Context Protocol MCP, Chain-of-Thought CoT prompting, fine-tuning models, Transformation, large datasets, scalable data processing workflows, GCP Vertex AI, Normalization, LangChain RAG frameworks, NLP techniques, Generative AI LLMs

MLops, Pytorch, Databricks, Python, Computer Vision, Deep Learning Frameworks

Tensorflow, Pytorch, Pandas, Apis, Scikit-learn, GenAI