Lorisย Rossi
Senior Machine Learning Engineer at CATCHES
Emilia-Romagna, Italy
Summary
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Top SchoolLoris Rossi is a Senior Machine Learning Engineer with a decade of experience building ML infrastructure that moves research into production, from Amazon Search to high-growth startups. He designs self-service MLOps platforms and automated finetuning workflows that measurably boost experiment velocity and developer productivityโone platform he architected at Amazon increased experiment volume 10x and helped drive $50M+ in revenue. Skilled across AWS, Kubernetes, PyTorch and LangChain, he has cut training time and production error rates dramatically by implementing multi-node training, observability, and resilient multi-model architectures. Loris pairs hands-on engineering (including image-processing contributions to open-source PatternFlow) with product-minded delivery, thriving in remote, async-first environments where ownership and outcomes matter. Based in Emilia-Romagna, Italy, he is open to roles across EMEA and brings a rare blend of research experience and production-grade operational rigor.
10 years of coding experience
6 years of employment as a software developer
Master's degree, Master's degree at The University of QueenslandMaster's degree Computer Science and Engineering, Master's degree Computer Science and Engineering at Politecnico di MilanoLiceo Scientifico Albert EinsteinBachelor's degree Computing and Automation Engineering, Bachelor's degree Computing and Automation Engineering at Universitร Politecnica delle Marche
Italian, English, Spanish
Github Skills (7)
computer-vision10
tensorflow10
python10
image-processing10
matplotlib9
machine-learning8
datatypes8
Programming languages (3)
Github contributions (5)
shakes76/PatternFlow
Oct 2019 - Oct 2019
Pattern recognition and image processing library for Tensorflow
Role in this project:
ML Engineer
ML EngineerContributions:9 commits, 1 PR in 1 day
Contributions summary:Loris focused on implementing gamma correction functionality within the `patternflow` repository, specifically for image processing. They developed the `adjust_gamma` function, incorporating data type handling and limits, and integrated it with a visualization script using `matplotlib`. Their contributions involved both the core algorithm implementation and the supporting infrastructure for testing and demonstration of the functionality.
recognitionimage-processing-libraryprocessing-libraryimage-processingpattern-recognition
lorisrossi/Python
May 2016 - Feb 2017
Contributions:29 pushes, 1 branch in 9 months
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