Digital Developer Conference on Cloud Native Security: Register for free and choose your sessions. June 24, 25, & July 1, 2020 Learn more


OS DeveloperDeveloper Advocate

ContainersMachine learningGovernanceAnalyticsArtificial intelligenceData managementServerlessVisual recognitionData scienceMicroservicesDeep learningDevOpsKnativeIstioApache KafkaApache OpenWhiskJupyter NotebookWatson Machine Learning AcceleratorIBM PowerAIIBM CloudCloud FoundryKubernetesCloud NativeIBM Cloud Pak for ApplicationsPyTorchcontainerdIBM Cloud Pak for DataMAX - Model Asset eXchange

Animesh Singh is Chief Architect for IBM Data and AI Open Source Platform , where he leads machine learning and deep learning initiatives and works with communities and customers to design and implement deep learning, machine learning, and cloud computing frameworks. In his current role, Animesh is primarily responsible for driving IBM Data and AI strategy and execution, both externally in open source and internally with Watson and IBM Cloud Private for Data, with focus on creating Data and AI open source platform for IBM, delivering and growing successful AI projects, leading IBM`s open source Trusted AI efforts, and driving adoption of these externally with community partners, customers and internally with AI product teams. He has a proven track record of driving design and implementation of private and public cloud solutions from concept to production. In his decade-plus at IBM, Animesh has worked on cutting-edge projects for IBM enterprise customers in the telco, banking, and healthcareIndustries, particularly focusing on cloud and virtualization technologies, and led the design and development first IBM public cloud offering.

Filter by type