Greg Loughnane Chris Alexiuk

llm langchain langgraph agentic-systems multi-agent-systems rag function-calling python ai-engineering llm-applications tool-use state-machines

Vatsal Patel

machine-learning mlops testing unit-testing end-to-end-testing test-driven-development ci-cd python pytest mocking dependency-injection

Qingyun Wu

ai generative-ai multi-agent-systems conversational-ai ai-agents llm large-language-models frameworks programming-framework python machine-learning mlops

Pablo Salvador Lopez

multi-agent-systems ai llm llm-ops autogen semantic-kernel agent-architecture mlops generative-ai orchestration python

Keri Olsen

generative-ai ai-coding-assistants software-development-lifecycle sdlc ibm-watsonx-code-assistant code-generation code-explanation test-case-generation application-modernization java python go c javascript typescript cobol automation mlops

Eddie Mattia

mlops time-series machine-learning data-science python xgboost metaflow outerbounds batch-inference data-modeling postgresql kubernetes ci-cd

Savin Goyal

mlops ai ml dependency-management python conda pip docker reproducibility metaflow data-science ml-stack

Dre Olgiati

llm large-language-models ai machine-learning mlops training gpu kubernetes python tensorflow pytorch kernels optimization memory-management transformer

Ivan Nardini Holt Skinner

rag gemini vertex-ai generative-ai llm multimodal-ai ai-ml google-cloud embeddings vector-database data-processing python

Nadia Rauch

generative-ai ai machine-learning llm large-language-models nylas automation developer-workflow api-development data-annotation model-deployment python

Adam Probst

mlops machine-learning zenml pipelines experiment-tracking reproducibility scalability collaboration deployment python cloud-deployments data-science

Zunair Waseem

llm ai feedback-loop user-feedback mlops generative-ai conversational-ai product-improvement prompt-engineering python