Microsoft Office, Jira, Pmo, Validation Testing, stakeholder follow-up, Practical AI delivery, data sensitivity, deployment monitoring, program management, operations transformation, portfolio governance, facilitation support

data engineering , Machine Learning, Google Cloud Platform, MLops, Agile, Scrum, AWS, Enterprise AI Delivery Practices, Model Lifecycle Management, Ai

Sql, Microservices, Testing, React, AWS, Angular, Python, Kubernetes, Azure, Software Architecture, Gcp, Docker, Git, Restful Apis, Autogen, LLMs, LlamaIndex, vector databases, embeddings, AI-integrated applications, LangChain, RAG, NoSQL databases

MLops, Drive, Gen AI workflows, GR00T, ML DL frameworks, Libraries, NVIDIA tools, GPU Accelerated Computing, Omniverse, SDKs, LLM breakthroughs, AI for Robotics, AIOps, ISAAC, NVIDIA Physical AI SDKs

information security governance , Machine Learning, Data Governance, Regulatory Submissions, Data Privacy Act, Model Lifecycle concepts, executive reporting, Risk Management, BSP Circulars, Model Risk Management, AI Governance Framework, Financial Services Governance, Regulatory Compliance, AI Generative AI

Databricks, Networking, PowerShell, Python, Bash, Terraform, Api Management, Azure OpenAI, Azure AI technologies, AI governance, IaC, Bicep, CI CD Automation, Private Links, cloud-native architecture, AI Search, LLMOps, VNETs