Dan Nguyen
ML Data Operations Manager
San Diego, California, United States
Summary
🤩
Rockstar🎓
Top SchoolDan Nguyen is a delivery and data operations leader with 14 years of experience building and scaling AI-driven data programs across healthtech and frontier labs, currently managing Delivery Operations at Snorkel AI. He has led teams of up to 10, owned end-to-end expert DaaS and ML data pipelines, and delivered hundreds of millions of labels for R&D and FDA-cleared products while cutting annotation costs and improving model sensitivity. Equally comfortable with vendor and project management as with hands-on data engineering, Dan has contributed to notable open-source projects like csvkit and the congress-legislators dataset, bringing practical scripting and CSV tooling improvements. Trained in public health and infectious diseases, he combines domain knowledge in healthcare with a strong focus on human feedback and annotation quality for LLMs and multimodal systems. Colocated in Chicago, he blends investigative curiosity—seen in journalistic scraping and data-wrangling work—with disciplined operational rigor to deliver research-grade datasets.
14 years of coding experience
6 years of employment as a software developer
Msc Infectious Diseases , Msc Infectious Diseases at London School of Hygiene and Tropical Medicine, U. of LondonBachelor of Science (B.S.) Health Science/ Public Health, Bachelor of Science (B.S.) Health Science/ Public Health at Stony Brook University
English, French
Stackoverflow
3,338reputation
338kreached
34answers
15questions
twitter
top-1%
google-visualization
top-5%
python
top-5%
Github Skills (32)
apim10
twitter10
pytest10
python10
testing10
command-line-interface10
webscraping10
csv-parser10
lxml10
http-request10
data-processing10
command-line10
csv10
cli10
data-analysis10
Programming languages (15)
Github contributions (5)
stanfordjournalism/search-script-scrape
Jun 2015 - Oct 2015
101 real world web scraping exercises in Python 3 for data journalists
Role in this project:
Data Scientist
Data ScientistContributions:56 commits, 55 pushes, 1 branch in 4 months
Contributions summary:Dan primarily contributed to a series of Python scripts designed to scrape and analyze data from various public sources, likely for journalistic purposes. The user implemented solutions for various data-related problems, including extracting information from PDFs, Excel spreadsheets, and web pages using libraries like `requests`, `lxml`, and `PyPDF2`. The contributions also involved data manipulation and analysis using libraries like `csv` and `openpyxl`, demonstrating a focus on data extraction and processing.
pythonjournalistspython-3scrapingweb-scraping
unitedstates/congress-legislators
Aug 2015 - Feb 2018
Members of the United States Congress, 1789-Present, in YAML/JSON/CSV, as well as committees, presidents, and vice presidents.
Role in this project:Back-end Developer & Data Engineer
Back-end Developer & Data EngineerContributions:8 commits, 3 PRs, 10 comments in 2 years 7 months
Contributions summary:Dan primarily focused on enhancing the data processing capabilities of the repository. Their main contribution was creating a script to fetch and insert Twitter IDs for legislators, utilizing the Twitter API and Python. The user also modified the script, and added functionality to resolve and prune twitter handles from the data. Furthermore, the user contributed to CSV formatting and added a `senate_class` field.
csvcongressmemberscsv-jsonjson
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