Apis, Gcp, Debugging, Containers, Azure, AWS, LLMs, multi-step orchestration, security access controls, enterprise integrations, PII handling, Problem-solving, RAG tool, backend services, function calling

Git, PostgreSQL, Azure Databricks, Sql, Python, OpenTelemetry, Service-principal automation, Application Insights, Asset Bundles, Unity Catalog

Python, cloud platforms, vector databases, security best practices, infrastructure as code, prompt engineering, RAG architectures

Typescript, Gcp, MLops, Javascript, Scala, Apache Spark, Azure, Python, AWS, AI APIs

Distributed Systems, Python, Kubernetes, Golang, TensorRT-LLM, llm-d, AI Inference, SGLang, vLLM, GRPC

Ml, Data Factory, Sql, Azure ML, App Services, Databricks, Azure, Python, Foundry, Ai, Generative-AI, Claude, Llm, OpenAI, Gemini

Python, Software delivery lifecycle, Security best practices, Multi-agent systems, System-level optimisation, Agentic AI Frameworks, Distributed computing architectures

Python, MLops, AWS Bedrock, pgvector, tool use, Pinecone, Azure OpenAI, LangSmith, LangGraph, Embeddings, GCP Vertex AI, LLM orchestration, LangChain, fine-tuning, model deployment, Monitoring, agent frameworks, SageMaker, vector stores, RAG, drift detection, Weaviate, Eval harnesses, function calling, LLM observability

Apis, Gcp, Python, CrewAI, LangGraph, multi-agent systems, ADK, vector databases, AI applications