Savin Goyal

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

Kshetrajna Raghavan

llm multimodal-llm generative-ai machine-learning mlops production-ml shopify product-taxonomy data-modeling computer-vision natural-language-processing image-classification gcp hugging-face ray sky-pilot triton inference

Dre Olgiati

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

Vinit Dhatrak

cloud-storage data-growth cloud-platforms azure ai machine-learning data-management distributed-systems microservices rest-apis scalability cost-efficiency

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

Graham Neubig

ai-agents software-development machine-learning mlops code-generation llm autonomy testing debugging devops github docker

Alison Cossette

generative-ai genai rag data-quality knowledge-graphs mlops neo4j data-science embeddings cosine-similarity

Shreya Rajpal

generative-ai genai ai-infrastructure mlops large-language-models llm ai-safety ai-reliability ai-governance ethical-ai monitoring validation

Adam Probst

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

Vasilis Vagias

ai llm mlops deployment optimization inference compiler pytorch docker gpu api

Jakob Frick

generative-ai ai-impact business-value mlops ml-in-production llm frameworks value-creation ai-products performance-optimization