state management , Google Cloud Platform (GCP), Large Language Model (LLM)-native metrics, Application Programming Interfaces (APIs), Retrieval-Augmented Generation (RAG)-like architectures, Python, LangGraph, Observability frameworks, Evaluation pipelines, Vector databases, Multi-agent systems

Java, Node, Typescript, Python, Git workflows, agent orchestration patterns, Go, model routing, Mobile, MCP and SDK-based integrations, CI CD, context engineering, Cost Optimization, testing strategies, modern agentic IDEs, prompt design, LLM mechanics, evals

Typescript, Javascript, Alerts, Incident Response, Python, Tool-calling, Agents, Developer platforms, Prompt iteration, Safe rollouts, Retrieval and context systems, Production reliability metrics, Production code, CI/CD, AI-native workflows, Eval harnesses

snowflake , Sql, TigerGraph, Gcp, Docker, Neo4j, Databricks, Restful Apis, Azure, Kubernetes, Python, AWS, Airflow, Ai, Prefect