Raoni Lourenço
Postdoctoral Research Associate
Luxembourg
Summary
👤
Senior🎓
Top SchoolRaoni Lourenço is a postdoctoral researcher and software engineer with over a decade of experience bridging academic AI research and production-grade backend systems. Currently at SnT in Luxembourg, he advances ethical AI, pipeline debugging and AutoML through statistical modeling and robust data-management practices, often leveraging AWS and Docker. His background includes postdoctoral roles at NYU’s Center for Responsible AI and hands-on engineering at Accern, giving him a rare combination of rigorous research methods and practical system-building. He began his career in embedded and digital TV middleware, which contributes to a pragmatic, systems-first approach to complex ML reliability problems. Known for interdisciplinary collaboration, he focuses on making responsible AI tools that are auditable and deployable in real-world environments. Fluent in moving ideas from prototype to production, he pairs PhD-level depth with ten years of industry-facing delivery.
10 years of coding experience
16 years of employment as a software developer
Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at NYU Tandon School of EngineeringTechnician, Computer's Programming, Technician, Computer's Programming at Instituto Federal de Educação, Ciência e Tecnologia do Amazonas - IFAMB.Sc., Computer Science, B.Sc., Computer Science at Universidade Federal do AmazonasM.Sc., Information Engineering, M.Sc., Information Engineering at Universidade Federal do ABC
English, Portuguese
Github Skills (13)
placement9
debug8
python6
pipeline5
conda5
debugging5
machine-learning4
orientation3
bond2
pattern-recognition1
exploratory-data-analysis1
data-cleaning1
chatbot1
Programming languages (2)
Github contributions (5)
VIDA-NYU/BugDoc
May 2019 - May 2022
BugDoc: python package to debug computational pipelines
Contributions:85 commits, 17 PRs, 75 pushes in 2 years 11 months
pythoncondaplacementdebugpipelines
raonilourenco/MLDebugger
Mar 2019 - Jun 2020
Code for "Debugging Machine Learning Pipelines". the Algorithms of MLDebugger are now part of BugDoc, a general pipeline debugger framework. This repository will keep the experiments for the DEEM paper, please check BugDoc's repository for the latest developments.
Contributions:3 reviews, 31 commits, 8 PRs in 1 year 2 months
keeppipelinemachine-learningdebuggingmachine-learning-pipelines
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