operational support , snowflake , Ml, Application Architecture, Gcp, MLops, automation solutions, Databricks, Azure, AWS, orchestration frameworks, LLMOps tooling, GenAI, agentic AI, Google Gemini, vector databases, Anthropic, cloud data integration, responsible AI governance, AI data analytics, Security, Mistral, OpenAI

Apis, Microservices, enterprise knowledge architectures, response governance, AI orchestration frameworks, Generative AI, orchestration patterns, data pipelines, LLMs, retrieval optimization, tool calling, evaluation grounding, integration mechanisms, multi-agent architectures, knowledge layers, prompt engineering, vector stores, Agentic AI, RAG, reranking, hallucination mitigation, MCP context engineering

Large Language Models (LLMs), Small Language Models (SLMs), MLops, Cloud Architecture, Software Engineering, Agentic AI systems, AWS Solutions Architect Professional, GCP Professional Cloud Architect, AI governance frameworks, Azure Solutions Architect Expert, FinOps practices, enterprise architecture frameworks, AI integration, ML algorithms, AI techniques, multi-agent AI systems

data engineering , Pyspark, Kafka, Sql, Git, Sap Hana, Docker, Databricks, Python, Apache Airflow, Devops, Data Quality, Data Governance, Automated Testing, Etl, ELT, Parquet, Delta Lake, data lifecycle management, PII protection, CI CD

Ewm, identity and networking security, enterprise API and integration architecture, RDNG, Microsoft Azure architecture, CI CD deployment patterns, Azure OpenAI, Azure AI Foundry, IBM ALM suite, GitHub Copilot, operational architecture practices, compliance with the EU AI Act, Responsible AI, Microsoft Copilot Studio, ETM

snowflake , Java, Golang, Google Cloud Platform, Apache Flink, Amazon Kinesis, Apache Spark, Node.js, Sql, Spark Streaming, Azure Synapse Analytics, Apache Kafka, Microsoft Azure, Databricks, Azure Machine Learning, Python, AWS, MLflow, Google BigQuery, Amazon SageMaker, Apache Pulsar, Microsoft Fabric