Rafael Vieira
Data Scientist
Brazil
Summary
👤
Senior🎓
Top SchoolRafael Vieira is a results-driven Data Scientist and self-taught AI practitioner with nearly eight years of experience bridging research and industry across startups and a major Latin American research center. He specializes in NLP, deep learning, MLOps and signal/time-series modeling, having delivered measurable gains such as reducing false positives by 21% and improving classifier accuracy by 14% in e-commerce products and boosting voice activity detection accuracy by over 20% in production-like systems. Comfortable across the ML lifecycle, Rafael builds end-to-end solutions using Python, PyTorch/Scikit-learn, PySpark and AWS, and has shipped lightweight embedded inference for sound classification on Arduino. He holds a BSc in Computer Science and an MBA in AI & Big Data from top Brazilian universities, publishes peer-reviewed research, and is an inventor on patents and software registrations stemming from his work. An EU passport holder open to roles across Europe, he pairs hands-on engineering with a track record of mentoring interns and translating models into business impact. Less obvious: he routinely leverages prompt engineering and OpenAI APIs to accelerate labeling and validation, blending cutting-edge LLM techniques into traditional ML pipelines.
8 years of coding experience
5 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Universidade Federal de ItajubáMaster of Business Administration (MBA) Artificial Intelligence and Big Data, Master of Business Administration (MBA) Artificial Intelligence and Big Data at USP - Universidade de São Paulo
English, Portuguese, Italian
Stackoverflow
13reputation
1kreached
0answers
2questions
Github Skills (52)
bilstm10
perceptron9
multiclass-classification9
knn9
dwt9
decision-tree8
random-forest8
kmeans8
loguru8
speech7
pca7
projeto7
data-augmentation7
python7
wavelet-transform7
Programming languages (7)
Github contributions (5)
rafaelgreca/rafaelgreca
Jan 2021 - Jan 2025
Contributions:18 pushes, 1 branch in 4 years
rafaelgreca/scratchml
Oct 2024 - Dec 2024
A Python library called ScratchML was created to build the most fundamental Machine Learning models from scratch (using only Numpy), emphasizing producing user-friendly, straightforward, and easy-to-use implementations for novices and enthusiasts.
Contributions:4 releases, 52 reviews, 7 PRs in 2 months
machine-learning-modelsnumpypythonmachine-learningscratch
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