tokenization , Java, Apis, Node.js, Microservices, Blockchain, Distributed Systems, automation, Python, developer platforms, data platforms, Ai, data and analytics, workflow automation, integration patterns

AI workflows, LLMs, scalable design principles, AI applications, machine learning techniques, data science expertise, coding best practices

Github, Apis, Data Architecture, Azure Databricks, Data Governance, Copilot scenarios, technical objection handling, real-time analytics, MVPs, Azure OpenAI, Azure AI Foundry, Azure databases, RAG semantic search, production adoption planning, GitHub Copilot, responsible AI, Microsoft Purview, PoCs, metadata lineage, Microsoft Fabric, cloud-scale analytics, AI-ready data architectures

SAS, Tableau, Sql, Python, sensitivity analysis, Segmentation, Model governance, Data analytics tools, AML Monitoring, R, model validation, Simulation, Enterprise-level AML monitoring systems, Statistical Techniques, Threshold tuning, Scenario design, Sampling methodology

information governance , relativity , technology risk , Data Management, Digital Forensics, Information Security, Microsoft 365, Data Privacy, AI tools, third-party delivery, Records Management, Microsoft Purview, audit evidence

Machine Learning, MLops, LangChain, LangGraph, SageMaker, data fusion, Agentic AI, LLM orchestration frameworks, Kubeflow, MLflow

Java, Scala, Spark, Iceberg, orc, Hudi, Parquet, DeltaLake, HDFS, Flink