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@jerryyang
Builder-minded Senior Full Stack Engineer focused on scalable cloud-native systems.
I am a builder-minded Senior Full Stack Engineer with 8+ years architecting and scaling high-throughput web applications using JavaScript/TypeScript and AWS. I have led end-to-end feature delivery in startup and fintech environments, designing resilient distributed systems and mentoring engineering teams.
At Angel Company I designed serverless backend services handling tens of thousands of transactions per minute, reduced API latency by 40%, and improved cloud cost efficiency by 25% while implementing CI/CD with Terraform and AWS CodeBuild. Previously I contributed to cloud automation and multi-tenant AI deployments at C3 AI Labs and led payment platform migrations and AI-based fraud detection at Honor.
I am passionate about combining strong engineering fundamentals, observability, and automated delivery to produce high-performance, cost-effective systems. I seek opportunities where I can drive architectural decisions, mentor engineers, and build production-ready AI and fintech infrastructure.
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Work history, roles, and key accomplishments
Angel Company
Jan 2022 - Jan 2025 (3 years)
Designed and developed full-stack TypeScript applications on AWS using serverless patterns, reducing API latency by 40% and improving cloud cost efficiency by 25% while enabling tens of thousands of transactions per minute.
C3 AI Labs
Jan 2019 - Jan 2022 (3 years)
Built cloud automation frameworks and data integration pipelines for large-scale AI deployments on AWS and GCP, and designed REST APIs and developer tools supporting 100+ engineers.
Honor
Jan 2015 - Jan 2019 (4 years)
Built scalable payment orchestration systems with TypeScript and AWS Lambda, led migration to microservices improving reliability and release velocity, and integrated ML-based fraud detection pipelines.
Degrees, certifications, and relevant coursework
Bachelor of Science, Computer Science
2011 - 2015
Bachelor of Science in Computer Science with a minor in Machine Learning, completed in 2015.
Software and tools used professionally
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