Lydia Liu
Data Engineering Lead @Carelumi
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WORK HISTORY
Data Engineering Lead @Carelumi
Chicago, IL, US
Architected and deployed scalable, secure infrastructure on AWS (S3, EC2, Cognito), enabling ingestion of 100K+ records/day from health providers with full GDPR compliance to reduce administrative cost.Automated document processing via OCR-to-LLM flow using Landing AI and LLaMA-based models; reduced manual review time to near zero.Collaborated across engineering, ops, and data teams to ship high-impact infrastructure accelerating decision-making and unlocking downstream analytics.
EDUCATION
University of Chicago
Bachelor's degree
Shenzhen Middle School
High school
ABOUT LYDIA LIU
Driven Mathematics, Computer Science and Statistics junior at the University of Chicago with hands-on experience in backend development, SQL optimization, LLM workflows, and educational game design. Proficient in Python, SQL, and Java, with strong foundations in machine learning, data engineering, and applied mathematics. I’ve built data pipelines for investment research, optimized databases for real-world product launches. Currently researching machine learning applications in biomarker discovery, I’m passionate about leveraging algorithms and scalable infrastructure to drive insights in commerce, health, finance, and education. Eager to contribute as a Software Engineer Intern or Data Engineering Intern in 2026. I bring curiosity, structure, and a deep love for well-architected systems. Feel free to reach me at l••••••••@uchicago.edu.
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