Data engineerSan Francisco

I build data systems people can trust, and I’m starting to build products of my own.

For the past four years I’ve worked on data platforms at Visa and Meta: pipelines that process millions of records a day, and the validation that catches problems before anyone downstream sees them. I studied finance before data science, and I’m most interested in where engineering, AI and entrepreneurship meet.

I believe in taking risks and iterating.

Experience

MetaData Engineer Data quality validation and monitoring for music logging pipelines across 50+ Meta products.Validation coverage 1% → 50% · 80% fewer false alerts Mar 2026 – Jul 2026
VisaSenior Data Engineer Ingestion, deduplication and orchestration for Visa’s merchant address enrichment platform.80% fewer redundant enrichment requests Sep 2022 – Feb 2026
Pocket GemsData Science Intern An LLM-based autocomplete tool for game script writers, and a churn model for Adventure Chef.Churn model AUC 0.91 Nov 2021 – Jul 2022

Full experience

Making

Products Things I build, each marked Idea, Building or Launched. Nothing listed yet. 0
Writing Notes on engineering, building products and startup ideas. The first one isn’t published yet. 0

Background

University of San FranciscoM.S. in Data Science2021 – 2022
UC BerkeleyExchange student, Applied StatisticsSpring 2020
Xiamen UniversityB.S. in Finance2017 – 2021

Curious about

Software engineering, data infrastructure, AI, entrepreneurship, and building useful products.

Outside work