Applied AI Engineer
From viral genomes to live emergency operations — same instinct, different domains: find the signal, structure it, make it usable under pressure.
View my work ↓I build systems that turn messy, fast-moving data into decisions worth trusting. That's meant processing billions of sequencing reads to trace how a virus mutates, and it's meant reconstructing an emergency incident in real time so a commander can see what's actually happening.
Currently working as an Applied AI Engineer, following an MS from UC Berkeley's School of Information and research in viral genomics at the UW Virology Lab.
Applied AI Engineer
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Training and deploying AI-assisted applications and pipelines for mortgage operations. Currently building document extraction systems for purchase contracts, helping underwriters and mortgage experts get accurate data faster.
Bioinformatician
UW Virology Lab
Processed 30B+ sequencing reads for viral genomics and phylogenetics, built ML models for biomedical imaging, shipped R Shiny dashboards on AWS, and co-authored peer-reviewed publications.
M.S., Information Management & Systems
UC Berkeley, School of Information
Thesis became the seed for Inference, an AI decision-intelligence platform for emergency command — see Previous Projects.
Self-hosted restock alerts, built end to end
A restock-alert tool for friends chasing limited retail drops. Multi-account picker, price-threshold alerts that flag scalped listings above MSRP, and push notifications the moment something's back in stock. FastAPI backend, background polling, htmx frontend, containerized and self-hosted.
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