# Angelica S.

> Applied AI Software Engineer w/ 5 YoE, full-stack project owner of cross-region onboarding support I18N services for 1M+ DAUs | former TikTok PGC ML/LLM-facing growth contributor | Ex-Googler

Location: San Francisco Bay Area, United States
Profile: https://flows.cv/angelicas

At TikTok, our team redefined a bunch of external user-centric products by transforming the Help Center, integrating multi-language support, and ensuring a seamless global user experience. This role extends my proficiencies in RESTful API, GraphQL queries, Node.js, and client-side rendering front-end framework(s), underscoring my commitment to cutting-edge tech in user engagement.

With a robust foundation in web engineering and data pipelines, my work encapsulates the intersection of AL/ML platforms and user interaction. Our achievements at TikTok, including the migration to a GraphQL-based CMS, not only mirror my professional values of innovation and inclusivity but also my drive to advance the creator ecosystem.

## Work Experience
### Community Member @ Leopard.FYI
Jan 2025 – Present | San Francisco Bay Area

### Software Engineer II @ TikTok
Jan 2024 – Jan 2025 | San Jose, CA
Drove the iteration of AI/ML platforms in the TikTok Content Ecosystem and AI Platform team for ML model evaluation and content moderation.
• Enabled ML model back-scan task management for easy control and monitoring.
• Built a filter rule editor for TikTok content moderation, allowing non-technical partners to create complex logical/comparison/nested queries across ML signals and video metadata.
• Released a batch labeling panel that displays video labeling options with their model signals side-by-side for efficient annotation.

### Software Engineer, Backend @ TikTok
Jan 2023 – Jan 2024 | San Jose, CA
Led and owned the TikTok Help Center for the Ecosystem Platform team, ensuring cross-regional data consistency and security compliance. 
• Launched the user-friendly external FAQ website - new TikTok Help Center, built with React, GraphQL, and a MongoDB-backed CMS with cross-region synced Redis caching; expanded I18N coverage from 24 to over 30 countries through canary deployment via CI/CD to ensure zero-downtime rollout.
• Eliminated recurring P0 incidents caused by cross-team code coupling; established service boundaries, refactored shared dependencies, and conducted reviews focused on error handling and maintainability, reducing review cycles.

### Software Engineer @ Google
Jan 2021 – Jan 2023 | Mountain View, California, United States
Engineered scalable monetization(m10n) backend services on GCP in the YT Brand Connect Eng team, expanding support for international customers.

• Delivered creator-facing web applications with payment internationalization(i18n), backed by an automated data pipeline to integrate YT Data Warehouse and streamline Adsense payment reconciliation automation for better accuracy and user experience.
• Enabled automated push notifications using Pub/Sub for event-driven processes, along with E2E testing to enhance real-time updates.
• Developed next-gen Marketplace and Creator Studio features using industry best practices, contributing to enhanced project lifecycle management and a sustainable platform architecture for over 360 clients and 1k+ client campaigns.

### Software Development Engineer @ Amazon
Jan 2020 – Jan 2021 | Seattle, WA
Worked in the Analytics Platform team serving the Amazon Care App on Java and AWS Lambda architecture, collaborated with senior teammates to develop and deliver resilient data lakes and warehouses, enhancing data accessibility and decision-making capabilities.

• Created an AWS CloudFormation (IaC) stack for an ETL pipeline from AWS DynamoDB to S3 as a prod-level data lake storage - practical solutions to run analytics on large-scale distributed systems with exposure to incredible volume and velocity.
• Streamlined automated integration tests in Hydra/Docker for accelerated validation and boosted productivity by 25%.
• Leveraged ECS, Lambda, and CloudWatch for logging and auto-scaling, supporting millions of daily transactions after deployment.

### Programming Engineer @ Hua-ke Data, Yancheng
Jan 2018 – Jan 2018 | Yancheng, Jiangsu, China
• Developed solutions utilizing programming skills and problem-solving abilities.
• Enhanced K-Mean algorithm, reducing convergence time by 30%-50% while maintaining error rate.
• Successfully tested 30-fps live image capture and broadcasting on Raspberry Pi web service.


## Education
### Graduate Certificate (part-time) in Human Computer Interaction
Stanford University
Jan 2022 – Jan 2024

### Master of Science - MS in Data Informatics
University of Southern California
Jan 2019 – Jan 2020

### Bachelor of Engineering - BE in Computer Science and Technology
Jiangnan University
Jan 2014 – Jan 2018

### Certification of Summer Program in 3D Graphics Rendering
National University of Singapore
Jan 2017 – Jan 2017


## Contact & Social
- LinkedIn: https://linkedin.com/in/angelicashyu

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Source: https://flows.cv/angelicas
JSON Resume: https://flows.cv/angelicas/resume.json
Last updated: 2026-03-22