snowflake , Github, Confluence, Pyspark, Databricks, Jira, Python, Sql, DataOps, Microsoft Fabric

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

Software Engineering, LLM-based systems, Tool Use, Source Control, MCP Memory, KV Cache, Agile development practices, Agent Loop, Multi-Agent, platform engineering, Context Engineering, building testing frameworks, Reasoning, evaluation systems, Planning, AI agents, Subagent, Prompt Engineering, autonomous workflows, LLM API, developer tooling

snowflake , Hadoop, Spark, Databricks, AWS Bedrock, pgvector, RAG systems, vector databases, Pinecone, Azure OpenAI, GPT, FastGPT, GCP Vertex AI, LLM fundamentals, Qwen, Dify, LangChain, CrewAI, PEFT, fine-tuning, LLaMA, ClickHouse, embedding models, prompt engineering, model architectures, LoRA, Milvus, LlamaIndex

Java, Nginx, Hadoop, OpenStack, Shell, Gcp, Docker, Ansible, System Design, Spark, Python, Kubernetes, AWS, Data Structure, Large model-related Search Suggestion, Volcano Engine, Go, Algorithmic thinking, Flink, AI Cloud, Linux operating systems, Aliyun, Recommender system

Automation Tools, Apis, Python, Sql, webhooks, LLMs, RAG tool

business workflows , Apis, Google Workspace, Microsoft Office Suite, software systems

data wrangling , Python, model SDKs, AWS Strands, AWS Bedrock, GLM, Azure AI Foundry, LangGraph, DeepSeek, Qwen, vector DBs, Google Vertex AI