Simone Mangiante

Research and Standards Specialist @Vodafone

Newbury, GB

Research on synthetic data generation, distributed AI/ML at the edge, MLOps with Kubeflow Pipelines, hardware acceleration for AI/ML (GPU, TPU, IPU).Experience in AI/ML development: GAN training and evaluation; computer vision transfer learning using EfficientDet and ResNet; custom CNN and LSTM models in Jupyter notebooks with TensorFlow and PyTorch; training and inference pipelines on GCP using TFX and Kubeflow; deep reinforcement learning (DDPG, actor-critic)Foundational work for Vodafone on Multi-access Edge Computing (MEC) architecture and orchestration, cloud-native telco infrastructure, distributed cloud for 5G.Development of internal MEC prototypes with vendors and partners. Experience in programming cloudlets and their integration with OpenStack. Development of cloud-native applications (Python) and infrastructure (Kubernetes/Ansible).Active participation in telecommunication standards (ETSI-MEC, Open Edge Computing, ONAP). Engagement with universities and EU projects. Experience in mentoring interns and graduates.