lifecycle management , privacy compliance , leanix , MLops, Identity, auditability, versioning, agentic AI, explainability, generative AI, LLMOps, Reliability, data foundations, Monitoring, Evaluation, Security, model risk, Responsible AI, architecture standards

.NET, Azure, Python, OpenAI API, Langchain

Machine Learning, Artificial Intelligence, Deep Learning, Gen AI, Open AI

AI ML, Python, Machine Learning, Pytorch

containerization , API design, Microservices, Gcp, Docker, Azure, Python, Kubernetes, AWS, CrewAI, LangChain, Qdrant, vector databases, Pinecone, Semantic Kernel, LangGraph, AutoGen, Chroma, cloud-native architectures, Milvus, Weaviate

Informatica, Mulesoft, APEX, Soql, Generative AI, Einstein Prompt Builder, SOAP APIs, Flow, Jitterbit, Einstein AI, Salesforce Agentforce, Salesforce Data Cloud

Power Automate, Json, Rest Apis, Prompt Engineering and Grounding, Azure Document Intelligence, Power Apps Copilot Studio, Logic Apps, Azure OpenAI, Azure AI Foundry, Azure AI integration with enterprise applications, Generative AI RAG, Azure AI Search

MLops, Docker, Flask, System Design, FastAPI, Kubernetes, Python, Api Development, Generative AI, Agentic AI

Azure Functions, Terraform, Cosmos DB, Azure Machine Learning, Azure DevOps, AI Content Safety, Azure API Management, Azure OpenAI, LangSmith, Azure AI Foundry, Semantic Kernel, LangGraph, AutoGen, GitHub Actions, Braintrust, NVIDIA NeMo, Ragas, Microsoft Fabric, Azure AI Search

Apis, Containers, Gcp, Distributed Systems, Azure, Python, AWS, Prompt engineering, LLMs, Vector databases, AI-powered products, Agent frameworks, RAG architectures