Distributed Systems, Cursor, Microservices, Typescript, Docker, Python, FastAPI, Kubernetes, AI-assisted Coding, LLM Fundamentals, AWS Bedrock, Qdrant, Agent Orchestration, Claude, Pinecone, GPT, Vector Databases, RAG Frameworks, Next.js, Dify, LangChain, Fine-tuning Strategies, DeepSeek, Milvus, Prompt Engineering, LlamaIndex

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

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

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

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, Big Data Technologies, Python, MLops, LLMs, open-source frameworks, numerical programming tools, productionizing machine learning systems, vector databases, RAG pipelines, prompt engineering