João Bertoldo
Applied Scientist II at Datadog
Paris, Ile-de-France
Summary
🤩
Rockstar🎓
Top SchoolJoão Bertoldo is an Applied Scientist II based in Paris with nine years of hands-on experience at the intersection of software engineering and deep learning, now combining industry impact at Datadog with Ph.D. research in image anomaly detection. He holds a rare triple engineering/AI background from Universidade de São Paulo, Mines Paris, and PSL, and has published multiple papers including at ICCV while mentoring MSc students. João contributes to open-source ML tooling—most notably improving data handling and experiment management in the anomalib anomaly-detection library—and has built production-ready pipelines for very large 3D scientific images at ESRF. Equally comfortable writing backend production code and prototyping research models, he brings practical deployment experience (time series, knowledge graphs, edge inference) alongside rigorous academic depth.
9 years of coding experience
2 years of employment as a software developer
MSc in Artificial Intelligence and Data Science (IASD), Artificial Intelligence, MSc in Artificial Intelligence and Data Science (IASD), Artificial Intelligence at PSL Research UniversityUniversity of São PauloMaster’s Degree in Science and Executive Engineering, Applied Mathematics, Master’s Degree in Science and Executive Engineering, Applied Mathematics at Mines Paris
Portuguese, French, English, Turkish
Stackoverflow
86reputation
5kreached
2answers
6questions
Github Skills (21)
pytorch10
anomaly-detection10
python10
load-data10
configuration-management10
git-repository10
data-loading10
unsupervised-learning10
data-processing10
data-handling10
dataloader10
github-repos10
machine-learning9
csv6
influxdb-python6
Programming languages (5)
Github contributions (5)
open-edge-platform/anomalib
Nov 2022 - Nov 2022
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
Role in this project:
Back-end Developer & ML Engineer
Back-end Developer & ML EngineerContributions:132 reviews, 7 commits, 37 PRs in 14 days
Contributions summary:João contributed to the core functionality and configuration of the `anomalib` library. They made significant changes to the data loading and processing steps, including correcting file paths and adding unique directory options for project configurations. Additionally, the user implemented the ability to load metrics with keyword arguments, enhancing the flexibility of the anomaly detection framework. These changes suggest involvement in the development of core components of the library with a focus on improving data handling, experiment management, and model configurations.
hyper-parameter-optimizationstate-of-the-arthyperdetection-libraryexperiment-management
jpcbertoldo/anomalib
Aug 2022 - Jan 2025
Contributions:3 reviews, 26 PRs, 219 pushes in 2 years 5 months
detection-libraryanomalyartdeep-learningoptimization
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