Kafka, Tensorflow, Docker, Elasticsearch, Python, AWS, Apache Spark, Sql, Gcp, Pandas, Databricks, Keras, Azure, Kubernetes, Airflow, Chroma DB, MLflow, Pinecone, OAuth 2.0, Kubeflow, LangChain, zero-trust architecture, AutoGen, OpenAI Agents API, FAISS, KServe, Weaviate, LlamaIndex

Performance Tuning, Terraform, AWS, Logging, Cloudformation, Azure ML, Gcp, Distributed Systems, Arm, Azure, Kubernetes, GenAI, Infrastructure as Code, LLM platforms, Inference scaling, GCP Vertex AI, Experiment tracking, Batch data architectures, Monitoring, GKE, Largescale data platforms, MLOps Automation, AKS, CICD for ML pipelines, EKS, AWS SageMaker, AIML infrastructure design and deployment, GPU accelerator infrastructure, Model registry