Fabrizio Cacicia
Machine Learning Engineer at Itconsulting
Catania, Sicily, Italy
Summary
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Rockstar🎓
Top SchoolFabrizio Cacicia is a Machine Learning Engineer with a decade of experience building mobile-first products and production ML systems, blending 3.5 years in mobile development (Android and Flutter) with extensive serverless and data-pipeline work. He has taken projects from PoC to MVP—designing ETL pipelines, training and deployment workflows (MLflow, Keras 3), and RAG-powered conversational agents—while also shipping recommendation and quiz-suggestion features for e-learning platforms. His background spans end-to-end delivery: mobile and web apps, serverless backends, Airflow-orchestrated delta/PySpark pipelines, and model-backed web apps. An active open-source contributor, he improved core functionality and tests in the Ivy framework to bridge ML frameworks like PyTorch and TensorFlow. Based in Catania, he pairs a Master’s in Artificial Intelligence with hands-on research engineering experience, making him comfortable both as an independent contributor and a collaborative team engineer.
10 years of coding experience
6 years of employment as a software developer
Master Degree Artificial Intelligence, Master Degree Artificial Intelligence at Sapienza Università di RomaEngineer's Degree Ingegneria Informatica e delle Telecomunicazioni, Engineer's Degree Ingegneria Informatica e delle Telecomunicazioni at Università degli Studi di Palermo
Italian, English
Stackoverflow
391reputation
15kreached
6answers
3questions
Github Skills (21)
ivy10
pytorch10
python10
testing10
machine-learning10
tensorflow10
converter9
transcode9
transpiler9
deeplearning-ai9
deep-learning9
numpy8
dart6
firebase6
flutter6
Programming languages (12)
Github contributions (5)
ivy-llc/ivy
Mar 2023 - Aug 2023
Convert Machine Learning Code Between Frameworks
Role in this project:
Back-end Developer & Test Automation Engineer
Back-end Developer & Test Automation EngineerContributions:4 reviews, 98 PRs, 35 pushes in 4 months
Contributions summary:Fabrizio primarily contributed to the implementation and testing of various machine-learning functionalities within the Ivy framework. Their work included adding implementations and tests for new methods in the Torch frontend, such as `var`, `narrow`, `as_strided`, `log1p`, `baddbmm`, `floor_`, `diag`, `gather`, `take_along_dim`, and `movedim`. They also addressed bugs and updated signatures related to Torch, improved tests, and contributed to the Tensorflow frontend.
pythontensorflowframework-learningtemplatedata-science
fabriziocacicia/template_base
Apr 2022 - Mar 2023
The base template that all the repositories should create from.
Contributions:17 releases, 81 PRs, 49 pushes in 11 months
repositoriestemplatebase-template
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