Alessandro Cerè
Principal Specialist Solutions Architect AI ML at Amazon Web Services (AWS)
Singapore
Summary
👤
Senior🎓
Top SchoolAlessandro Cerè is a Principal Specialist Solutions Architect in AI/ML at AWS based in Singapore, with nine years of applied experience bridging advanced research and production-grade machine learning. He guides organizations across APJ through Foundation Model adoption and ML operationalization, combining deep technical knowledge of model lifecycles with hands-on cloud architecture and data strategy design. His background spans quantum optics research and experimental physics (PhD), where he led data-intensive research programs and published in high-impact journals, to building analytics platforms and real-time reporting for national healthcare systems. Proficient in Python, image processing, C and Matlab, he brings a rare mix of experimental rigor and pragmatic engineering—often evangelizing containerization, DevOps and cloud-native patterns to accelerate deployment. Outside enterprise work he maintains personal GitHub activity focused on data and image processing, reflecting a continued commitment to hands-on coding and tooling.
9 years of coding experience
11 years of employment as a software developer
Master's degree Physics, Master's degree Physics at Sapienza Università di RomaPh.D. Physics, Ph.D. Physics at University of Camerino
English, Italian, Spanish, French
Stackoverflow
18reputation
41reached
1answer
0questions
Github Skills (109)
deploying10
jupyter-notebook10
amazon10
machine-learning-models10
aws10
architecture9
amazon-athena9
python9
sagemaker9
mxnet9
huggingface9
deep-learning9
amazon-sagemaker9
development-kit9
pytorch9
Programming languages (6)
Github contributions (5)
aws-samples/amazon-sagemaker-mlops-with-featurestore-and-datawrangler
Oct 2021 - Oct 2022
Contributions:2 reviews, 42 commits, 22 PRs in 11 months
acere/amazon-sagemaker-drift-detection
Jul 2021 - Jun 2023
This sample demonstrates how to setup an Amazon SageMaker MLOps deployment pipeline for Drift detection
Contributions:5 PRs, 21 pushes, 21 branches in 1 year 11 months
sagemakeramazon-sagemakerpipelinedeployment-pipelinedeployment
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