GCP), Retrieval-Augmented Generation (RAG), Cloud-based AI deployments (AWS, MLops, Azure, Distributed Systems, Python, AWS, LangChain, Tool Calling, Generative AI, Orchestration tools, Agentic AI, MCP Model Context Protocol, CI/CD pipelines, Microservice integration, Workflow automation platforms, LlamaIndex, Prompt Engineering

Keras, Opencl, Java, Tensorflow, Django, Rust, Pytorch, Cuda, FastAPI, Kubernetes, Python, Docker, Flask, Azure ML, Go, ONNX, AWS Sagemaker, DeepStream, Caffe, TensorRT