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

cloud security, Data Protection, Javascript, Application Security, Iam, Grc, Python, ZTNA, SASE, SSE, Go, Zero Trust principles, AI security, Security Operations

data engineering , Tensorflow, Pytorch, Cloud Architecture, Distributed Systems, Azure, Kubernetes, caching layer, embeddings, Airflow, vector databases, MLflow, platform engineering, LLM RAG patterns, prompt engineering, ML AI engineering, Kubeflow, MLOps tools, KServe, ML frameworks

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