Ilyas Iyoob

generative-ai genai roi artificial-intelligence machine-learning mlops enterprise-ai pilot-paralysis scalability data-science business-intelligence

Fatma Tarlaci

ai-agents agentic-ai autonomous-systems machine-learning llms iterative-learning multi-agent-systems mlops investment finance supply-chain-optimization healthcare customer-service

Sophia Yang

ai mistral-ai large-language-models llm multimodal-models open-source-ai fine-tuning ai-agents function-calling generative-ai mlops developer-relations

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

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