Tensorflow, Pytorch, Docker, Oracle, Python, AWS, Sql, Cuda, Git, Gcp, Neo4j, Keras, Azure, AWS Bedrock, NVIDIA, Google Gemini, Transformer architecture, Mistral, Vertex AI, Diffusion models, Agentic workflows, Graph DBs, GANs, LLaMA 3.0, Copilot, OpenAI GPT-3.5

prompt , Azure, Aws, Docker, Kubernets, Python, Llm

Serverless Computing, Containers, Data Warehouse, Encryption, Microservices, AWS, Streaming, Apis, Cloud Architecture, Gcp, Iam, Azure, Kubernetes, Event-driven architecture, Compliance, Secrets management, Customer 360, Zero Trust principles, Observability, Ai, key management, Agentic AI, Lakehouse, Security governance, Master Data Management

Python Programming, Microsoft Azure cloud platform, Agile-based principles and tools

Rest Apis, Solution Architecture, AI ML, Azure DevOps, LangChain, GenAI, GitHub Actions, Agentic AI

data engineering , linear models , Ml, Nlp, Computer Vision, Gcp, MLops, Data Science, Azure, AWS, agentic AI, LLMs, LLMOps, cloud-native architecture, Ai, tree-based methods, reinforcement learning, graph ML, DataOps, Temporal, stochastic processes

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