Kafka, Google Cloud, MLops, Spark, Microsoft Azure, Databricks, AWS, Airflow, Qdrant, Llm, agentic systems, Chroma, dbt, FAISS, RAG, Weaviate, AIOps

.NET, Generative AI / LLMs, LangGraph / Agent Orchestration, Distributed Systems, Software Architecture, System Design, Microservices, Java, Node, AI Agents, Agentic AI, MCP, Event-Driven Architecture, Legacy Application Modernization

data warehouses , API design, Sql, Devops, MLops, Cloud Infrastructure, Data Governance, Azure, Python, AWS, LLMOps, data platforms, security-by-design, lakehouses, privacy-by-design, AI architecture, data lakes, infrastructure-as-code, Access Control

Docker, Kubernetes, CrewAI, MLOps toolchains, LangChain, AutoGen, open-source LLMs, AI tech stacks

Machine Learning, Google Cloud, Enterprise Integration, MLops, Azure, AWS, Generative AI, LLMOps, cloud platforms, AI architecture, AI copilots, Agentic AI, intelligent automation, modern data platforms, AI governance, API architecture

Apis, Microservices, Sql, MLops, Containers, Python, embeddings, GenAI LLMs, enterprise data architecture, LLMOps, privacy access controls, security governance, vector databases, prompt engineering, retrieval strategies, model risk management, CI CD technologies, Responsible AI, AI agent frameworks, RAG architectures

Data Governance, Sql, ELT, MLops, Docker, Kubernetes, Python, Etl, Azure DevOps, Data lakes, Generative AI, RAG architecture, LLMOps, GitHub Actions, AI agents, AI-ready data platforms, AI security

Apis, Sql, Microservices, MLops, Containers, Python, embeddings, GenAI LLMs, LLMOps, enterprise data architecture, privacy access controls, vector databases, security governance, prompt engineering, retrieval strategies, model risk management, CI CD technologies, Responsible AI, AI agent frameworks, RAG architectures

Cloud Technologies, enterprise-scale architectures, agile delivery methodologies, GenAI solutions, AI LLM platforms, AI governance, regulatory considerations, AI architecture, AI orchestration