Jesse Swanson
Research Engineer at TikTok
New York, New York, United States
Summary
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RockstarJesse Swanson is a Research Engineer based in New York with six years of experience applying machine learning engineering and QA expertise in production-focused research environments. Currently at TikTok, he blends model-centric development with rigorous test automation to ensure data integrity and reliable featurization pipelines. His open-source contributions to the well-regarded jiant NLP toolkit highlight hands-on work adding SuperGLUE tasks, authoring MNLI tests, and fixing featurization bugs—skills that bridge research prototypes and reproducible tooling. Colleagues rely on him for pragmatic verification of tokenization and data conversion logic that often go unnoticed until they fail in deployment. Jesse’s profile suggests a developer who pairs curiosity about NLP architectures with a discipline for quality assurance, making him effective at turning experimental models into dependable components.
6 years of coding experience
Github Skills (7)
pytorch10
nlp10
python10
testing10
bert9
transformers8
test-automation8
Programming languages (3)
Github contributions (5)
nyu-mll/jiant
Jun 2020 - May 2021
jiant is an nlp toolkit
Role in this project:
ML Engineer & QA Engineer / Test Automation Engineer
ML Engineer & QA Engineer / Test Automation EngineerContributions:5 releases, 143 reviews, 87 commits in 11 months
Contributions summary:Jesse primarily contributed to testing and improving the featurization process within the `jiant` NLP toolkit. Their work involved writing and adding tests for the MNLI task, verifying the correct conversion of examples to tokenized and featurized formats, and ensuring data integrity during these processes. They also fixed issues in other tasks by adding and modifying code and test. The user also added code for the SuperGLUE tasks, showing familiarity with the project's overall architecture.
nlptransformersmultitask-learningsentence-representationbert
jiant-dev/jiant-dev
Jun 2020 - Oct 2020
jiant-dev
Contributions:30 reviews, 21 commits, 78 PRs in 4 months
dev
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