Kelvin Jiang
Software Engineer at Databricks
New York, New York, United States
Summary
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Rockstar🎓
Top SchoolKelvin Jiang is a software engineer with 9 years of experience building production ML and backend systems, currently contributing at Databricks from New York. He has applied NLP and information retrieval expertise at Twitter, AWS, and research labs, including work on fact verification and knowledge-base QA during his University of Waterloo research. Kelvin contributed to Anserini— a well-known Lucene toolkit for reproducible IR research—improving the FEVER experiment pipeline and dataset processing, showing a focus on robust evaluation and data hygiene. His background spans applied research and product engineering across recommendations, relevancy, and content-safety models, blending model development with production-grade tooling. Collected internships and short-term roles reflect a pattern of rapidly adapting to domain-specific challenges and shipping focused improvements under tight timelines.
9 years of coding experience
2 years of employment as a software developer
Bachelor of Computer Science, Data Science, Bachelor of Computer Science, Data Science at University of WaterlooOSS Diploma, IB Diploma, OSS Diploma, IB Diploma at Bayview Secondary School
Github Skills (6)
lucene10
information-retrieval10
python10
file-handling9
parameter-tuning8
bash7
Programming languages (4)
Github contributions (5)
castorini/anserini
May 2020 - May 2021
Anserini is a Lucene toolkit for reproducible information retrieval research
Role in this project:
Back-end Developer
Back-end DeveloperContributions:2 reviews, 7 commits, 8 PRs in 1 year
Contributions summary:Kelvin primarily contributed to the development and maintenance of the FEVER experiment within the Anserini toolkit. Their commits focused on enhancing the FEVER-related functionalities by modifying Python scripts for evaluation and parameter tuning. Additionally, they addressed bugs related to dataset processing and file handling, ensuring accurate query generation and retrieval. These modifications suggest a focus on improving the information retrieval pipeline for the FEVER task.
reproducibleretrievalluceneinformation-retrievaljava
infinitecold/FreebaseQACode
Aug 2017 - Dec 2017
Contributions:10 commits, 1 push in 4 months
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