Ludovica Gonella
Machine Learning Engineer at YouTube
San Jose, California, United States
Summary
👤
Senior🎓
Top SchoolLudovica Gonella is a Machine Learning Engineer based in San Jose with 10 years of experience blending machine learning, deep learning and bioengineering to build practical, people-focused solutions. Currently at YouTube, she brings production ML expertise and a research-minded background from Imperial College London in cellular biomechanics and osteoarthritis. Her open-source work includes full‑stack contributions to the popular extruct project, where she improved metadata extraction and cross-version Python compatibility—evidence of both backend skill and attention to maintainability. Trained through formal engineering degrees and targeted ML/Deep Learning programs, she excels at translating complex bioscience problems into deployable models and pipelines. Colleagues describe her as a motivated team player who also thrives working independently on technically challenging problems.
9 years of coding experience
Laurea, Biomedical Engineering, Engineering, 101 / 110, Laurea, Biomedical Engineering, Engineering, 101 / 110 at Università degli Studi di Genova / University of GenoaCertification, Deep Learning, Certification, Deep Learning at FastAIEngineer's Degree, Bioengineering focused on osteoarthritis and cellular biomechanics, Distinction, Engineer's Degree, Bioengineering focused on osteoarthritis and cellular biomechanics, Distinction at Imperial College LondonMachine Learning Engineer Nanodegree, Machine Learning, Machine Learning Engineer Nanodegree, Machine Learning at Udacity
Italian, English
Stackoverflow
65reputation
4kreached
0answers
4questions
Github Skills (17)
python10
html-parsing10
lxml10
opengraph10
json-ld9
microdata8
rdfa7
computational-geometry6
android6
android-shared-preferences6
groupby6
dataframe6
java6
pandas6
geometry6
Programming languages (4)
Github contributions (5)
scrapinghub/extruct
Mar 2018 - Dec 2018
Extract embedded metadata from HTML markup
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:71 commits, 10 PRs, 72 pushes in 8 months
Contributions summary:Ludovica's contributions primarily focused on extracting metadata from HTML markup. They implemented extraction for Open Graph and Microformat data, along with the necessary parsing and transformation logic. The commits demonstrate the integration of various extraction libraries and the refactoring of existing code to improve efficiency and maintainability within the `extruct` project. The user was also involved in fixing tests and making the codebase compatible with Python 2.7.
json-ldmicroformatsheadmeta-tagssemantic-web
Kebniss/TalkingData-Mobile-User-Demographics
Aug 2016 - Nov 2016
Contributions:64 commits, 54 pushes, 1 branch in 3 months
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