Python, tool function calling, tracing observability tooling, Logfire, AI systems in production, prompting, Temporal, OpenTelemetry, pydantic-ai, LiteLLM, MCP, agent architectures

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

Python, Model Lifecycle Management, Model Deployment, ML Pipeline Development, Machine Learning Operations, Cloud AI services, Monitoring Optimization, Machine learning frameworks, Multi Cloud skills

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

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