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

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 , Java, BigQuery, Data Modeling, Javascript, Databricks, Data Integration, APEX, Python, LangChain, AI LLM technologies, Salesforce Data Cloud, LlamaIndex, Salesforce platform

API design, Distributed Systems, Python, AI/ML solutions, Semantic retrieval, Context engineering, AI engineering, Evaluations, SQL relational databases, Modern AI LLM concepts, Prompting agents, data infrastructure, Application layers, Gateway technologies, Cloud messaging, MCP tools

Machine Learning, MLops, Big Data Technologies, Python, LLMs, open-source frameworks, vector databases, RAG pipelines, numerical programming tools, prompt engineering

Orchestration, Git, Cloud Infrastructure, Python, CI CD pipelines, containerisation, LLM application development, infrastructure as code, AI workflow controls

Typescript, Javascript, Debugging, Python, production agents, delivery systems, model tools, AI applications

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