Hi, I'm

Paolo Di Francesco

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I am a Senior Solutions Architect at Amazon Web Services (AWS) in Vienna, Austria. I help customers design and run cloud-based systems with a focus on Machine Learning Operations (MLOps), DevOps, and Generative AI. My current interest is Agentic AI — how foundation models, tool use, and orchestration are reshaping the way we build software and architect systems on the cloud.

Build

Designing cloud architectures and ML systems with AWS customers — from startups to enterprises — across MLOps, DevOps, and Generative AI.

Experience →

Teach

External lecturer at TU Wien on AI & Generative AI, plus public workshops used by AWS field teams worldwide.

Teaching →

Write & Speak

7 posts on the AWS ML Blog (54K+ views) and talks at AWS Summits, Cloud Days, and meetups across Europe.

Blog →

Open Source

Selected upstream contributions and workshops I’ve authored or co-authored. Stars are live.

mlflow/mlflow GitHub stars

Added AWS SigV4 request signing to the MLflow client via MLFLOW_TRACKING_AWS_SIGV4, enabling MLflow tracking servers to sit behind Amazon API Gateway with IAM authentication.

Pull Request
mlflow/mlflow GitHub stars

Unblocked mlflow sagemaker build-and-push-container in SageMaker JupyterLab: added a --network flag for the restricted sagemaker network, plus a Docker CLI fallback for environments where the Python SDK can't reach the proxy socket.

Pull Request
aws/sagemaker-python-sdk GitHub stars

Added an example notebook demonstrating Inference Pipelines in SageMaker V3, using ModelBuilder and the new sagemaker.core components.

Pull Request
aws-samples/amazon-sagemaker-from-idea-to-production GitHub stars

Workshop: MLOps from idea to production in six steps. Used by AWS field teams worldwide.

Author
aws-samples/amazon-sagemaker-immersion-day GitHub stars

Workshop: Amazon SageMaker Immersion Day. Delivered to thousands of customers.

Co-author

Background

Before joining AWS in 2020, I spent four years at RadarServices in Vienna, where I progressed from Software Developer to Development Team Leader to Software Engineer & Architect, working on cloud-based IT security monitoring products. Earlier in my career, I was a Postdoctoral Researcher and Data Analyst at Trinity College Dublin, where I also earned my Ph.D. in Electronic & Electrical Engineering.

My academic work has been published in IEEE Transactions on Computers, IEEE Transactions on Big Data, IEEE/ACM Transactions on Networking, and IEEE Transactions on Cognitive Communications and Networking, among other venues.