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

Performance Monitoring, Logging, Python, Benchmarking, Hugging Face, vector databases, Pinecone, LLM APIs, model evaluation methodologies, RAG pipelines, fine-tuning techniques, observability, RLHF, SFT, hallucination detection, Anthropic, Monitoring, prompt engineering, Generative AI solutions, LLM fine-tuning, FAISS, LoRA, OpenAI, Weaviate, QLoRA

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

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

Machine Learning (ML), Large Language Models (LLMs), Image Processing, Neural Networks, Deep Learning, Python Frameworks, Generative AI, Chatbot Development, Cloud AI Services