Azure, AWS, Python, Kubernetes, Docker, Gcp, Terraform, multi-agent orchestration, observability, MLflow, Agentic AI applications, CI CD pipelines

.NET, Java, Version Control, Node.js, API design, Automated Testing, Typescript, Distributed Systems, Python, secure development practices, CI CD, AI-enabled solutions, observability

Pytorch, Gcp, Docker, Azure, Kubernetes, Python, multi-agent systems, fine-tuning, Hugging Face ecosystem, tool calling, prompt engineering, cloud-native engineering, inference optimization, RAG architectures

Grafana, MLops, Prometheus, FastAPI, Kubernetes, Python, Docker, Jenkins, Flask, LangChain, GitHub Actions, Airflow, Kubeflow, MLflow, GitOps, vector databases, OpenTelemetry, AIOps, GenAI frameworks

Gcp, MLops, Docker, Databricks, Azure, Python, AWS

Kubernetes, Python, AI ML application development, Observability and monitoring tools, MLOps AIOps tools, CI CD pipelines, GenAI frameworks

Sql, Java, MLops, Google Cloud, AWS, Python, Azure, Pinecone, vLLM, OpenAI, feature engineering, Gemini, data preprocessing, LLMOps, LLM orchestration frameworks, Weaviate, LangChain, LMDeploy, LangGraph, Milvus, Claude, vector databases, model evaluation, LLaMA, FAISS, prompt engineering

react.js , Docker, Sql, Agile, Test Automation, HTML, Express, CSS, Node.js, Kubernetes, Scrum, Python, NoSQL Database, Kanban

Pyspark, Apache Spark, Kafka, Sql, Databricks, Python, RAG solution stacks, enterprise data governance, embeddings, CI CD workflows, vector databases, Git version control, cloud-native observability, Delta Lake