Enrico Rotundo

Enrico is an exceptional young data scientist with 5 years of experience working on a variety of machine learning (ML) and machine learning operations (MLOps) projects.

In his past, Enrico has lived and worked across Europe delivering machine learning projects in domains as diverse as IoT, B2B marketplaces, traffic optimization, vehicle infrastructure, and fleet management.

More recently Enrico has been leveraging his ML expertise in a variety of MLOps and integrations projects. Enrico is a valuable member of the Winder.AI team thanks to his can-do attitude, which translates into delivering results amidst uncertain requirements and complicated technology stacks.

Tech: Python, Pandas, TensorFlow, PyTorch, Keras, Scikit-learn, OpenCV, Numpy, Scipy, Matplotlib, Seaborn, Linux, Bash, Git, Jupyter, SQL, MongoDB, Azure, AWS, Kubernetes, Pachyderm, Seldon, Docker, Docker Compose, Apache Ni-Fi, Flask, Dask, Dash, Streamlit, Hadoop, Spark, PySpark.

More articles

Scaling StableAudio.com Generative Models Globally with NVIDIA Triton & Sagemaker

Learn from the trials and tribulations of scaling audio diffusion models with NVIDIA's Triton Inference Server and AWS Sagemaker.

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Do you like DAGs? Implementing a Graph Executor for Bacalhau

Enrico Rotundo presents some of his latest work designing and implementing a directed acyclic graph (DAG) executor for Bacalhau, a decentralised compute platform.

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