zachman framework , Node.js, Typescript, Togaf, Python, LangChain, Semantic Data Architecture, Retrieval-Augmented Generation RAG, Model Context Protocol MCP, AI Governance Security, Context Engineering, OpenAI API, LangGraph, Enterprise AI Architecture, Agentic AI, Internal Developer Platforms, Ontology Design, Claude API, Prompt Engineering, Knowledge Graphs

PostgreSQL, Prometheus, Grafana, Redis, Git, Docker, MongoDB, FastAPI, Kubernetes, Python, MinIO S3, GitHub Actions, LLM APIs, OpenTelemetry, Pydantic

Apis, System Design, Python, Sql, retrieval systems, data pipelines, LLMs, workflow automation, AI native products, cloud native architecture, Agents

graph databases , Python, Databricks, Keras, Tensorflow, MLops, AWS, Pytorch, Spark SQL, Azure, Neo4j, Nlp, knowledge graphs, LLMs, LlamaIndex, DGL, Scikit-learn, LLMOps, vector databases, embeddings, LangChain, RAG, semantic search, prompt engineering

S3, Lambda, Docker, Sqs, Sns, Python, Kubernetes, AWS, LLM evaluation and observability tooling, LangGraph, ETL optimization, Agentic AI LLM applications, RAG architectures

software engineering practices , Microservices, Sql, Rest Apis, Testing, Python, Nlp, evaluation frameworks, hallucination risk, LlamaIndex, Semantic Kernel, embeddings, LangChain, CrewAI, Git workflows, AI service integration, LangGraph, LLM-based application development, RAG vector databases, document extraction, retrieval quality, AutoGen, prompt safety, semantic search, prompt engineering, AI evaluation methods

graph databases , Databricks, Tensorflow, MLops, Machine Learning, Pytorch, Neo4j, Advanced Analytics, Keras, AWS, Spark SQL, Python, Azure, Nlp, LangChain, LLMs, LlamaIndex, DGL, LLMOps, embeddings, RAG, model lifecycle management, knowledge graphs, Scikit-learn, vector databases, semantic search, generative AI, prompt engineering

S3, Lambda, Docker, Sqs, Sns, Kubernetes, Python, AWS, LLM evaluation and observability tooling, LangGraph, ETL optimization, Agentic AI LLM applications, RAG architectures