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

Python, vector stores, data pipeline development, retrieval strategies, re-ranking, multi-step agent workflows, embedding models, prompt engineering, RAG architectures

Amazon Web Services (AWS), Large Language Models (LLMs), Machine learning frameworks and libraries, Developing and deploying AI models in production environments, Python Programming Language, Cloud computing concepts and services

Retrieval-Augmented Generation (RAG), MLops, Docker, Python, AWS, LangChain, GenAI, Generative AI, AWS Bedrock, Prompt engineering, Model monitoring, SageMaker, Vector Databases, OpenAI APIs, Containerized deployments, LLM evaluation

Java, BigQuery, Apis, Cloud Storage, Python, GenAI, Prompt engineering, Agent loops, Google Enterprise Agent Platform, Pub Sub, RAG concepts, Embeddings, Agentic AI, Memory fundamentals, GCP Services, SDKs, Tool integration

analog circuits , Pytorch, Python, EDA Tools, Scientific Computing, Spice, reinforcement learning