Paulo Mello
Gupy
São Paulo, Brazil
Summary
👤
Senior🎓
Top SchoolPaulo Mello is a Machine Learning Engineer and Data Scientist with 8 years of experience building production-ready backend and ML solutions across tech and business environments in São Paulo. Currently at Gupy, he focuses on MLOps with Amazon SageMaker and MLflow to deploy NLP models ranging from classic ML to transformers and LLMs. At MadeiraMadeira he led forecasting and classification projects that materially improved sales strategies and internal KPIs, bringing measurable business impact. His background in meteorology and applied research at SIMEPAR gives him uncommon strength in handling large-scale time series and geospatial data for predictive tasks. Comfortable bridging systems engineering and research, Paulo blends hands-on model development with scalable orchestration and deployment. He pairs academic training in AI with practical experience shipping models into production, favoring robust, observable pipelines.
8 years of coding experience
Bacharelado, Meteorology, Bacharelado, Meteorology at Universidade Federal de PelotasInteligência Artificial e Aprendizado de Máquina, Artificial Intelligence, Inteligência Artificial e Aprendizado de Máquina, Artificial Intelligence at PUC Minas
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (46)
satellite10
routines9
javascript9
census9
prediction-model9
zarr9
open-source9
noaa9
weather-data9
python8
aws8
cffi8
meteorology8
grib7
earth-science7
Programming languages (5)
Github contributions (5)
palexandremello/goes-py
Mar 2018 - Jan 2023
A Python package can be useful to download dataset from GOES satellite on AWS
Contributions:2 releases, 1 review, 62 commits in 4 years 10 months
data-analysispythonsatellitedatasetzarr
palexandremello/cetesb-microweatherstation
Aug 2018 - Jul 2023
cetesb air quality dataset
Contributions:2 PRs, 9 pushes, 2 branches in 4 years 11 months
risk-assessmentdatasetair-qualityairquality
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