Summary
Ariyo Oluwasanmi is an MLOps-focused software engineer with a decade of experience building production-grade ML systems that bridge data science and operations. He designs and operates scalable, reproducible pipelines and CI/CD for embedding, retraining, and deployment across Kubernetes and cloud-native platforms (AWS/GCP), with hands-on expertise in MLflow, Kubeflow, SageMaker and Vertex AI. Ariyo has delivered enterprise RAG and knowledge systems—optimizing FAISS, Pinecone, Qdrant and Weaviate backends, building multimodal ingestion pipelines, and integrating agentic LLMs using LangGraph/ADK for autonomous workflows. He also embeds governance, explainability (SHAP/LIME), and bias/drift detection into deployment lifecycles to meet GDPR/HIPAA and internal compliance needs. Notably, he automates agent lifecycle and tool orchestration to reduce manual intervention, turning experimental models into observable, secure services that scale in Fortune 500 environments.
10 years of coding experience
University of Electronic Science and Technology of China
English, Chinese