Ronald Pereira
Principal AI Engineer & Founding Team at cerradoX
Minas Gerais, Brazil
Summary
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Rockstar🎓
Top SchoolRonald Pereira is a Principal AI Engineer and founding team member with a decade of experience building production-grade ML systems and back-end services, currently based in Minas Gerais, Brazil. He led fraud prevention and cross-platform Generative AI initiatives at iFood, shipping scalable detection models and multi-agent frameworks that balance risk mitigation with user experience. Ronald pairs an M.Sc. in Computer Science from UFMG specializing in fraud prevention with hands-on expertise in PySpark, AWS SageMaker, and end-to-end model deployment. He has a strong product mindset—architecting recommendation engines, RL-driven experimentation frameworks, and observability for ML in production. Equally comfortable in research and execution, he now drives enterprise AI strategy and LLM agent workflows at cerradoX after guiding high-impact partnerships at Confi. Known for mentoring technical teams, he brings curiosity-driven innovation grounded in measurable business outcomes.
10 years of coding experience
4 years of employment as a software developer
High School, High School at From 7th to 3rd year of High School on Colégio Magnum Agostiniano - Cidade NovaM.Sc Computer Science, M.Sc Computer Science at Universidade Federal de Minas GeraisEnglish Course, English Course at Cultura Inglesa
Portuguese, English, Spanish, French
Stackoverflow
407reputation
50kreached
21answers
2questions
Github Skills (91)
emotion-recognition10
lua10
face10
javascript10
chatgpt10
gameplay10
optimizer10
ai10
face-recognition10
analyzer10
typescript10
facial-recognition10
world-of-warcraft10
agentic10
autogen10
Programming languages (11)
Github contributions (5)
ronaldpereira/hsr-optimizer
Jan 2024 - Mar 2025
A relic optimizer & character scorer for Honkai Star Rail
Contributions:118 pushes, 47 branches in 1 year 1 month
ronaldpereira/galaxy-cluster-prediction
Dec 2018 - Nov 2022
Sloan Digital Sky Survey dataset class prediction using custom Neural Networks implementation in Keras+Tensorflow
Contributions:7 PRs, 14 pushes, 10 branches in 3 years 11 months
autoencoderskypredictiondeep-learningdataset
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