# Ryan Chui

> Member of Technical Staff

Location: San Francisco, California, United States
Profile: https://flows.cv/ryanchui

Ryan Chui is a US citizen and a Member of Technical Staff at a stealth AI startup. He has educational concentrations in biological sciences,  biotechnology and high performance computing, and occupational experience in ML infrastructure, data engineering, and cloud architecture.

## Work Experience
### Member of Technical Staff @ Stealth AI Startup
Jan 2026 – Present
- Delivered 10x improvement in average time to ship code to production, from hours to minutes
- Developed platform to branch and sandbox data processing, enabling parallel ML experimentation in a Write-Audit-Publish pattern

### Technical Lead, Platform / Integration @ Recurrency
Jan 2025 – Jan 2026
- Managed a team of 4 engineers developing careers, setting roadmaps, and working with stakeholders
- Led a zero downtime migration to a new data processing platform resulting in 40x improvement of P95 incremental and backfill runtime
- Re-engineered core data model to improve end to end data freshness by 10x
- Managed organization wide observability improvements, enabling end-to-end visibility for distributed logs and traces while driving down costs 3x

### Senior Software Engineer, Platform @ Recurrency
Jan 2022 – Jan 2025
- Developed the compute platform to handle >300k data processing jobs per day
- Scaled the data platform to handle a 100x increase in customers and 1000x increase in data volume
- Improved end-to-end customer data onboarding time by 5x
- Drove full text search optimizations resulting in a 10x reduction in cost while retaining performance

### Senior Software Engineer IV, Health Machine Learning @ 23andMe
Jan 2022 – Jan 2022 | San Francisco Bay Area
- Improved ML model bulk prediction performance by 2250x and model selection performance by 25x
- Decreased prediction API “ready for traffic” time by 90x with Redis
- Migrated all health ML cloud, monitoring, and alerting infrastructure to Terraform
- Headed development of a model monitoring service
- Facilitated technical mentorship and career growth of multiple junior engineers

### Senior Software Engineer III, Health Machine Learning @ 23andMe
Jan 2020 – Jan 2022 | San Francisco Bay Area
- Designed a platform for managing the end-to-end lifecycle of asynchronous batch computes
- Optimized ML model training runtime by 2x and ML model training throughput by 3x
- Launched a company-wide CI/CD platform that reduced operational costs by 75% and enabled end-to-end Gitops
- Coordinated organization-wide Bitbucket to Github migration
- Participated in department-wide project design reviews

### Software Engineer II, GWAS @ 23andMe
Jan 2018 – Jan 2020 | San Francisco Bay Area
- Engineered an industry-leading GWAS pipeline to process millions of ML models per hour for 150x cost reduction
- Led organization-wide DevOps meta-team to scale and manage shared AWS infrastructure
- Managed an organization-wide multi-account AWS migration

### Software Engineer I, Algorithms @ 23andMe
Jan 2018 – Jan 2018 | San Francisco Bay Area
- Rewrote a Python BGEN export tool to improve performance by 60x
- Accelerated a Python VCF writer performance by 650x
- Reduced phasing and imputation costs by 50%

### Software Developer - Genomics @ National Center for Supercomputing Applications
Jan 2016 – Jan 2017 | Urbana-Champaign, Illinois Area
- Improved a Java genomic best linear unbiased predictor for plant offspring genotype yields 11x with effective multi-threading.
- Authored a scalable C++ search tool replacement for grep to search TB sized directories.
- Engineered a scalable C++ data archival utility replacement for tar to bundle and move TB sized directories. 
- Optimized industry partner’s applications for high performance computing workflows for an average 2x performance improvement.
- Mentored undergraduates while working full-time as a graduate student.


## Education
### Master’s Degree in Bioinformatics
University of Illinois Urbana-Champaign
Jan 2016 – Jan 2017

### Bachelor’s Degree in Biochemistry
University of Washington
Jan 2012 – Jan 2016


## Contact & Social
- LinkedIn: https://linkedin.com/in/ryanwchui
- GitHub: https://github.com/rchui

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Source: https://flows.cv/ryanchui
JSON Resume: https://flows.cv/ryanchui/resume.json
Last updated: 2026-03-20