Júlio Arend
Software Engineer
Bavaria, Germany
Summary
🤩
Rockstar🎓
Top SchoolJúlio Arend is a software engineer and Engineering Science student at TUM with five years of practical experience bridging mechanical engineering, automotive technology, and machine learning. He contributes to open-source forecasting tools like NeuralProphet, where he improved missing-data handling and conditional seasonality—skills that reflect both data-science rigor and production-oriented engineering. Bilingual and internationally minded, Júlio pairs analytical problem-solving with cross-cultural collaboration, having academic ties to UFRJ and research exposure at Stanford in energy forecasting. Currently seeking a company to host his bachelor’s thesis, he combines hands-on implementation, refactoring discipline, and an entrepreneurial interest in electromobility and innovation.
5 years of coding experience
Bachelor of Science - BS, Engineering Science, Bachelor of Science - BS, Engineering Science at Technische Universität MünchenMaschinenbau, Maschinenbau at Universidade Federal do Rio de Janeiro
German, Spanish, French, Portuguese, English
Github Skills (14)
neural-network10
data-preprocessing10
forecasting10
machine-learning10
pytorch10
forecast10
time-series10
deep-learning10
python10
pytest9
testing9
autoregressive-models9
pandas9
vector-autoregression9
Programming languages (2)
Github contributions (5)
ourownstory/neural_prophet
May 2022 - Jan 2023
NeuralProphet: A simple forecasting package
Role in this project:
Data Scientist / ML Engineer
Data Scientist / ML EngineerContributions:27 reviews, 47 commits, 49 PRs in 8 months
Contributions summary:Júlio made significant contributions to the `neural_prophet` repository, focusing on enhancing the model's handling of missing data and improving its forecasting capabilities. They implemented features to allow for the imputation and dropping of missing values, addressing issues related to data preprocessing. Moreover, the user was involved in bug fixes and refactoring of plotting functions and enabling more features such as conditional seasonality.
forecastingneuralprophetpythonforecasttime-series
judussoari/neural_prophet
Apr 2022 - Jan 2023
NeuralProphet: A simple forecasting package
Contributions:3 PRs, 163 pushes, 48 branches in 9 months
pytorchforecastingneuralprophetpythondeep-learning
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