Nathan Gavenski
PhD Candidate
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolNathan Gavenski is a PhD candidate at King's College London with a decade of experience spanning machine learning research, software development, and quality engineering. He teaches deep learning for NLP at PUCRS and brings practical product-focused front-end experience from roles at ADP and large-scale testing and automation expertise from IBM. Comfortable across languages and tools—from AngularJS and Selenium to Python and Ruby—he blends rigorous academic research in safe and trusted AI with hands-on implementation and UX-minded feature work. As a former scrum master and educator, he emphasizes human-centered processes and reproducible engineering practices. His international background and language studies underpin a collaborative, cross-cultural approach to research and teaching. Notably, he has transitioned from digital content production to advanced ML education, reflecting both technical breadth and a knack for communicating complex ideas.
10 years of coding experience
2 years of employment as a software developer
German Studies, German Studies at Humboldt-Institut LindenbergMaster's degree, Machine Learning, Master's degree, Machine Learning at Pontifícia Universidade Católica do Rio Grande do SulGerman Studies, German Studies at Rudolf-Diesel-GymnasiumEnglish Language and Literature, General, English Language and Literature, General at International Language Schools of CanadaDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at King's College London
German, English, Spanish, Portuguese
Stackoverflow
123reputation
9kreached
11answers
1question
Github Skills (59)
angular6
integration-testing6
tensorboard6
viewchild6
asp-net-mvc6
javascript6
angular-routing6
mysql6
karma-jasmine6
reward5
agent5
robot5
wordcloud5
python5
simulator5
Programming languages (6)
Github contributions (5)
NathanGavenski/IL-Datasets
Oct 2022 - Oct 2022
This is a project for creating and using IL datasets based on HuggingFace weights with multithreads for performance, and benchmarking
Contributions:6 releases, 1 review, 10 commits in 18 days
agentimitation-learning
NathanGavenski/NathanGavenski.github.io
Aug 2020 - Dec 2024
My personal Github Page
Contributions:1 release, 2 PRs, 102 pushes in 4 years 5 months
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