control management , Microsoft Azure, AI Foundry, Copilot Studio, Microsoft Tech Suite, Innovation

Machine Learning, Performance Engineering, Microservices, Scalability, Numpy, Docker, Distributed Systems, Python, AWS, Api Development, Pandas, MLops, Kubernetes, Prompt engineering, Reliability, MLflow, multi-agent orchestration frameworks, Embeddings, ML pipelines, Autonomous workflow design, Kubeflow, Generative AI, RAG architecture, LLMOps, Vector databases, Scikit-learn, AI evaluation and monitoring frameworks, distributed systems architecture

workflow engines , Orchestration, Apis, Security Compliance, Data Protection, Data Architecture, Enterprise Integration, MLops, Enterprise Search, orchestration frameworks, vendor tooling choices, RAG tool use, modern LLM application patterns, LLMOps, vector databases, event streams, Retail CPG domain knowledge, foundation models, Access Control, AI Architect, agentic frameworks, observability

data engineering , Metadata Management, Cloud Services, Testing Frameworks, Data Quality, MLops, Data Governance, Data Ingestion, Data Observability, AI Enabled Analytics, Generative BI, Embedding Pipelines, Ai, AI Assisted Analytics, Data Platforms, Distributed Data Systems, Cloud Data Certifications, Feature Stores, Governance Platforms, Metadata Lineage, Data Validation

Nlp, GenAI, Microsoft Copilot, Azure OpenAI, Azure Cognitive Services, machine learning models, Microsoft AI Agent, enterprise integrations

data engineering , data warehouses , snowflake , ELT, Tensorflow, Azure Synapse, Pytorch, Python, Data Lineage, AI ML, Sql, Deep Learning, Databricks, Etl, data pipelines, data quality governance, data lakes, enterprise data integration, Spark-based platforms, LLM-based applications, metadata, Generative AI, Scikit-learn, data consumption patterns, Lakehouse platforms, Agentic AI, Microsoft Fabric

Visual Studio Code, Python, Autogen, Microsoft AI Foundry, Azure AI services, Copilot Studio, Semantic Kernel

process mining , Ibm Watson, Cloud, MLops, Azure AI Copilot, data supply chain, Gemini, cloud AI platforms, Amazon Bedrock, Responsible AI frameworks, API-first, MCP, agentic workflows, RAG, Business Process Mapping, AI governance, Claude, GenAI architecture, GenAI platforms, IT enterprise architecture concepts, AI architecture, multi-agent orchestration, observability, LLM architecture, value-led prioritisation, Google Vertex AI, prompt engineering

Databricks, Kafka, Matlab, Azure DevOps, Jenkins, Spark, AWS Bedrock, Feast, Cloud native data platforms, Amazon Deequ, Data Architecture for AI, Azure OpenAI, DataHub, Apache Atlas, Power BI with Copilot, LangChain, CrewAI, LangGraph, GitHub Actions, Vertex AI, Great Expectations, Google ADK, Evidently, Confluent Kafka, AutoGen, Palantir Foundry