Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), Aws Lambda, Python Programming, Devops, MLops, Docker, Kubernetes, LangChain, LangGraph, Generative AI, AI model deployment and monitoring on AWS, Amazon Bedrock, Amazon SageMaker, Prompt Engineering, LLMOps, CI/CD Pipelines, Microservices architecture, Agentic AI, Multi-Agent Systems, API integrations, AI Orchestration

Prometheus, Kafka, Grafana, Cloud Storage, Terraform, Postgres, Python, BigQuery, Graphql, Google Cloud Platform, Pulumi, Sql, REST, DataFlow, Kubernetes, Cloud Spanner, Pub Sub, GitHub Actions, Vertex AI, Kubeflow, Cloud Functions, GKE, Cloud Monitoring, Argo CD

Large Language Models (LLMs), Computer Vision, Image Processing, Document Processing, Agentic libraries, Python Programming Language, Prompt Engineering, Lang chain, Autogen, Neural network architectures, RAG architecture, Deep learning frameworks, Vector databases, Lang graph, Cloud AI services, Chatbot development

vertex , bedrock , Tensorflow, Nlp, Pytorch, Gcp, Azure, Python, AWS, MLops, LangChain, CrewAI, LLMs, Generative AI frameworks, Hugging Face, Scikit-learn, MLflow, LangGraph, SageMaker, Vertex AI, Kubeflow, RAG, Polly, Sagemaker, Q Transcribe, Gemini, AutoML

Ml, C, Cuda, Tensorflow, Git, Pytorch, Docker, Linux, Opencv, Python, Kubernetes, Computer Vision, Ai, cloud platforms, TensorRT, ONNX, Real-time video processing, RTSP video streaming

Tensorflow, Pandas, Pytorch, Sql, Python, scikit-learn