Eduardo Fantini
IA Developer at Nelogica
Rio Grande do Sul, Brazil
Summary
👤
Senior🎓
Top SchoolEduardo Fantini is an AI Developer and data scientist with nine years of experience bridging academic research and production-grade engineering from Rio Grande do Sul, Brazil. He designs and ships LLM- and RAG-powered systems, having led a code-generation pipeline and a fast agent classification service that improved accuracy and cut response times substantially. His research background at UFRGS produced novel residual neural network methods and rigorous comparisons showing XGBoost's practical advantages in heuristic search, demonstrating a blend of experimental rigor and product impact. Eduardo also has hands-on open-source and tooling experience—building MIDI dataset pipelines, a music-generation LSTM, and a Python package for MIDI-to-tabular conversion—reflecting curiosity for creative applications of ML. He excels at taking models from EDA and feature engineering through scalable deployment, with a track record of measurable gains in user satisfaction and operational efficiency.
9 years of coding experience
Bachelors, Computer Science, Bachelors, Computer Science at Federal University of Rio Grande do Sul (UFRGS)
Portuguese, English, Spanish
Stackoverflow
21reputation
2kreached
2answers
3questions
Github Skills (22)
polyphonic7
music-information-retrieval7
midi7
music7
mongodb6
meteor6
npm6
javascript6
theory6
serialization5
music-theory5
serializer5
machine-learning4
nlp4
expressive3
Programming languages (4)
Github contributions (5)
edufantini/UFRGS-INF
Sep 2019 - Dec 2020
Repository dedicated to my graduation at UFRGS.
Contributions:2 PRs, 11 pushes, 2 branches in 1 year 2 months
graduationdedicatedufrgs
petcomputacaoufrgs/epms
Sep 2021 - Nov 2021
The Expressive Polyphonic MIDI Serializer is a tool to turn MIDI files into a model-friendly, expressive representation for ML projects.
Contributions:18 commits, 14 pushes, 1 branch in 1 month
representationmidiserializationmachine-learningexpressive
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