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Launched an AI language-learning RPG app (React Native), reaching 20K+ downloads per month and paid subscribers within 3 months with zero paid acquisition via social media and ASO. Architected a real-time voice roleplay engine using OpenAI and LiveKit, and built an automated content pipeline (OpenClaw + Claude) generating 4M views/month at ~$50/month.

Designed a real-time streaming data pipeline for threat detection and built an end-to-end ML pipeline (tokenization, normalization, feature engineering) feeding a production model. Reduced support escalations by 40% by creating a self-service data integration tool and drove cross-functional system design with CI/CD and unit testing.

Led Transaction Hub delivery for fraud detection by extending Node.js APIs and a Kafka event-driven streaming service processing 10M+ daily events while coordinating across 3 teams to meet a compliance deadline. Owned on-call and AWS regional failover exercises to maintain 99.99% availability, and migrated Node.js/Spring services to remediate critical CVEs.

Eliminated daily false-alarm pages by diagnosing cross-team API overload and shipping a pre-enriched data feed, reducing on-call alerts by ~50% and millions of redundant calls per month. Validated migration correctness end-to-end with regression tests across APIs, queues, and streaming services to ensure 99.99% uptime continuity after major-version upgrades.

Delivered features and critical fixes on PayPay’s 50M+ user payment platform, implementing refunding and coupon policies in the Transaction API with schema design, unit tests, and Kubernetes deployment. Resolved a production reconciliation defect that blocked accurate finance reporting.

Shipped two consumer products end-to-end using React.js, Node.js, and Python, owning architecture through production deployment. Built a Python SDK and REST API adopted by partner teams for third-party integration and created a generative-art pipeline.

Co-designed Amazon Shopper Panel from scratch, leading system design for a React Native app and microservices for receipt-based offline ad measurement, launched on the App Store. Maintained IMDb ad-serving infrastructure (500K requests/5 min across 190 hosts, p99 latency <200ms) and built ad formats plus React-based ad-preview and A/B testing tooling.

Built batch data engineering pipelines on S3/ETL/Spark/AWS EMR powering ad-performance reporting for 300M+ users across Amazon.com and IMDb.com. Developed an IP-based bot-filtering service that cut downstream traffic by 40% and saved ~$50K/year in compute costs.

Built Node.js microservices to automate genomic data ingestion from external research organizations at scale. Developed React.js UI components supporting user-driven genomic data uploads across multiple sources.

Earned an M.S. in Computer Science from Boston University (2015–2017).

Earned a B.S. in Biology from National Taiwan University (2009–2014).