Tensorflow, Pytorch, Gcp, Docker, Azure, Kubernetes, Python, AWS, LangChain, CrewAI, Qdrant, Hugging Face, Pinecone, vLLM, Semantic Kernel, AutoGen, LangGraph, Chroma, Ollama, Milvus, LlamaIndex

Neural Networks, Image Processing, Deep learning techniques, Python Programming Language, Cloud AI services

Machine Learning, Elk, Pyspark, PostgreSQL, Apache Spark, Prometheus, Kafka, Grafana, Redis, Docker, Terraform, Kubernetes, Backend Services, Flink, ETL Pipelines, Graph Analytics, ML Model Outputs

Artificial Intelligence, Machine Learning, Core Python, Python, Generative AI, Large Language Models, Llm, Generative AI Applications, RAG, Retrieval-Augmented Generation

MLops, Gcp, Docker, Distributed Systems, Azure, Kubernetes, AWS, feature management, experiment tracking, machine learning systems, ML platform architecture, cloud native architectures, model training, data platforms, pipeline orchestration, data ingestion, model lifecycle management, model monitoring

AWS, Microservices, Kubernetes, Python, Azure, Terraform, Airflow, AI technologies, ML-driven products

Pandas, Sql, Keras, Tensorflow, Numpy, Rest Apis, AWS, Pytorch, Python, Azure, Gcp, Docker, Scikit-learn

Logging tools, Continuous Integration, Continuous Deployment, Prometheus, Networking, Python, Docker, Shell script, Automation Scripting, Elk Stack, Google Cloud Platform, Infrastructure as Code, GCP Native Services, Containerization technologies, Firewall configurations