Machine Learning, Python, Generative AI, HuggingFace, OpenAi

process mining , Ibm Watson, Cloud, MLops, Claude, Business Process Mapping, GenAI platforms, LLM architecture, Azure AI Copilot, GenAI architecture, Google Vertex AI, observability, LangChain, IT enterprise architecture, API-first, CrewAI, AI architecture, prompt engineering, AutoGen, RAG, MCP, cloud AI platforms, Responsible AI, AI governance, Gemini, Amazon Bedrock, agent orchestration

Cloud-Native Mastery, systems thinking, Programming Depth, Responsible AI, Prototype to Production, AI ML Expertise, MLOps Scale

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

Tensorflow, Pytorch, MLops, Python, Machine Learning Algorithms, LangChain, model governance, Generative AI, HuggingFace, vector databases, prompt engineering, AI Agent frameworks, RAG pipelines

threat modeling , Ml, cloud security, Data Protection, Iam, Grc, Data Loss Prevention, LLM-based systems, policy enforcement, Security Operations, ZTNA, Usage Monitoring, SSE, SASE, Zero Trust principles, security architecture reviews, AI security

Data Science, Jira, MLops, Databricks, Model deployment, RAG systems, LLMs, Vector databases, MLflow, Guardrails, ML architecture, ML pipelines, AI governance, Vector retrieval, Fivetran, Feature data workflows, Observability, Inference architectures, Monitoring