# Zach Liou > Software Engineer - Infrastructure & Platforms Location: New York, New York, United States Profile: https://flows.cv/zachliou I'm a software engineer and UC San Diego alum with a passion for computer science, art, and entrepreneurship. I have over seven years of experience in software infrastructure, working at Google and Meta, and my own startups. At Google, I implemented and optimized high-performance and scalable services for YouTube. At Meta, I build training data platforms for artificial intelligence systems. As a founder, I guide teams of passionate people in creating apps and tools for social and nonprofit missions. I am always looking for mentorship and opportunities to help solve impactful problems. ## Work Experience ### Software Engineer @ Meta Jan 2025 – Present | New York, New York, United States Ads Machine Learning Infrastructure - Training Data Services Launched a data pipeline benchmarking tool that automatically A/B tests code changes at commit-time and detects CPU/memory utilization regressions. Reduced operational costs by 2 engineer-months/year and validated a key service scaling initiative that increased label processing capacity from 20M to 100M. Achieved 50% reduction in runtime for lazy-loaded training data pipelines and improved GPU reading efficiency by designing and implementing a data filter optimization library, which increased the output rate of CPU-based training data readers. Championed service reliability for a training-time training data mutation service, moving from ~2 major outages per quarter to passing 99.95% SLOs across all service endpoints. Managed service scaling & re-sharding, established SLOs, closed oncall playbook coverage gaps on critical/major alerts, and raised integration test coverage from 45% to 100%. Evangelized alerting best practices, helping reduce the team's oncall toil score. ### Senior Software Engineer @ GoodRx Jan 2023 – Jan 2024 | New York, New York, United States Reduced p95 latency of core GoodRx pricing services by 50% from 1400ms to 700ms by planning and executing a migration from a Python monolith to Go microservices. Unblocked a core company growth initiative (GoodRx for Healthcare Professionals) by implementing a batch endpoint on the core GoodRx pricing service. Resulted in ~40% p95 latency reduction relative to the single endpoint. Optimized latency by caching, batching, and omitting upstream RPC calls. Advocated for API best practices (aip.dev). Mentored peers on software engineering hard skills (e.g. GraphQL basics, version control, unit testing) and soft skills (e.g. domain knowledge, ticket organization). ### Software Engineer @ Google Jan 2018 – Jan 2023 | San Bruno, California, United States Led a team in implementing a full-stack data consistency pipeline for transferring videos between channels that processes X0,000 transfer requests per day. (Frontend: TypeScript, React) Led a team in optimizing the external video metadata API by adding RPC orchestration & parallelization and migrating implementations from Python to C++, resulting in ~85% p95 latency reduction. Implemented API endpoints, indexers, and queue workers for the internal YouTube video metadata API, which handles X00,000 queries/sec regularly. Kept up a 99.99% SLO with canary releases, percent launches, feature flags, and monitoring/observability tools. ### Founder @ Egge Jan 2015 – Jan 2018 | La Jolla, CA Co-founder & CTO. Launched a location-based event-planning social media app reaching X00 MAU. Admitted to the Blackstone LaunchPad accelerator at UC San Diego (formerly the Basement). Participated in conferences and showcases, including the Startup Grind Global Conference. Filed Provisional Patent No. 62/436,664. Managed a team of software engineers and launched a mobile app on Android and iOS using ReactJS, AngularJS, Express, Node.js, and SQLite. ### Software Engineering Intern @ Google Jan 2017 – Jan 2017 | Mountain View, California, United States Modernized the interface & UX of the video review​ queue​ ​management​ tool for YouTube Trust & Safety administrators. ### Software Engineering Intern @ Track Revenue Jan 2016 – Jan 2017 | San Francisco, California, United States Reduced annual overhead by approximately $60,000 by engineering a framework for automating backups of AWS EBS instances, with integration into Jenkins. ### Software Engineering Intern @ Track Revenue Jan 2016 – Jan 2016 | San Francisco, California Built a bot detection system that increased meaningful traffic and ad revenue. Developed a templated website generator, used by the sales team for hyper-personalized marketing for potential clients. Integrated a notification system into the user interface that cleared visual clutter and allowed users to easily track their service usage. ## Education ### Bachelor’s Degree in Mathematics and Computer Science UC San Diego ## Contact & Social - LinkedIn: https://linkedin.com/in/zachliou - Website: http://www.zachliou.com - Website: https://www.github.com/zliou --- Source: https://flows.cv/zachliou JSON Resume: https://flows.cv/zachliou/resume.json Last updated: 2026-04-05