# Maggie Yan

> Software Engineer | ex-Amazon | ML

Location: New York, New York, United States
Profile: https://flows.cv/maggieyan

I'm passionate about AI. I’m currently building AI agents to help improve productivity at TidalWave.

I have previously worked on recommendation systems at Amazon. My team at Amazon builds solutions to personalize the search experience.

I also love giving back to the community and the world by combining my previous knowledge in business and finance with my newfound tech skills.  I’ve made it my mission help charitable causes create positive change and make the world a better place. 

I volunteered as a software engineer at AMMCO, a non-profit whose mission is to protect aquatic megafauna and their habitats.  We’ve built an app that uses crowdsourced information to aid local fisherman patrols to save endangered sea turtles.

## Work Experience
### Software Engineer @ TidalWave
Jan 2024 – Present | United States
Led the design and implementation of a regression test system, reducing hotfixes by over 60%.  Significantly increased confidence in production releases through comprehensive automated testing.

Redesigned and streamlined the deployment flow, eliminating friction in the batch deployment process.  Resolved inconsistencies across teams and reduced manual engineering time from hours to minutes. 

Established a streamlined technical support process to bridge gap between sales and engineering.  Improved SLA response time from days to hours.  

Experimented with AI Agents to allow non-technical stakeholders to resolve product issues without engineering intervention.

### Software Engineer II @ StubHub
Jan 2023 – Jan 2024 | New York City Metropolitan Area
Designed and implemented new backend API endpoint to support buyer refunds via coupon, allowing 34m MAU to receive refunds in under a minute. 

Collaborated with multiple teams to launch “Split with Friends”.  Architected backend service to glue UI requests and payment service.

Improved the existing refund system by adding proper error handling and automatic tests, significantly reducing the reliance on complex stored procedures. 

Authored comprehensive documentation and led knowledge transfer sessions to ensure team alignment and smooth onboarding for new developers.

### Software Engineer @ Amazon
Jan 2022 – Jan 2023 | New York City Metropolitan Area
Saved $48k/yr in AWS infrastructure cost by reducing the EMR cores from 80 to 20 while improving data processing time. Optimized data partitioning to eliminate unnecessary duplication, calculation and shuffling.

Achieved 10x acceleration of the production data pipeline by optimizing Spark memory allocations, reducing runtime from 11 hours to just 1 hour.

Led design and implementation of World Wide, scaling out Search widget from 1 to 21 marketplaces each supporting multiple languages.

Owned running project to A/B test multiple datasets across four Amazon.com shopping pages, optimizing the customer purchasing journey using visual navigation experiences powered by datasets I generated. 

Automated code review descriptions and implemented format checks to increase quality of code reviews.

### Software Engineer @ Better
Jan 2021 – Jan 2022 | New York City Metropolitan Area
Built an industry-leading mortgage pricing engine in 6 months with the team. Owner of the price lock management backend system. The engine is 10x faster than the best alternative in the market and provides 100x more serving capacity with moderate resource usage. 

Automated tools for parity testing of complex price adjustments and eligibility rules between 3P SaaS and new systems. Report generated by the tool reduced turnaround time from days to minutes. 

Led data quality improvement effort for the engine, driving more than 5 engineers and product managers to improve data quality to 95% within a month.  Previously stuck at 50% for 3 months.

I was promoted within 7 months of joining.


## Education
### Computer Science
Stanford University

### Mathematics
Harvard Extension School

### Bachelor of Commerce (B.Com.) in Economics and Finance
University of Auckland


## Contact & Social
- LinkedIn: https://linkedin.com/in/maggie-yan-0a32056a

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Source: https://flows.cv/maggieyan
JSON Resume: https://flows.cv/maggieyan/resume.json
Last updated: 2026-04-01