Summary
Lucas Chin is an incoming SWE intern and UC Irvine computer science student focused on machine learning, AI infrastructure, and full‑stack systems engineering. He has four years of hands‑on experience building production ML and data systems, including a GenAI-powered Text-to-SQL and RAG pipeline at Viasat that sped queries 2.5x and cut token costs by 42%. Lucas has applied predictive modeling in live motorsports environments, delivering >70% accuracy on race-position forecasts and informing real-time strategy decisions. He also led an award-winning secure data synthesis project at a collegiate AI hackathon and scales solutions using Python, C++, SQL, AWS, Docker, TensorFlow, Flask, and React. Beyond engineering, he’s organized large-scale hackathons and forged industry partnerships, demonstrating an ability to connect technical execution with community and stakeholder impact. He’s seeking roles where ML, data scalability, and automation meet production-grade reliability.
4 years of coding experience
1 year of employment as a software developer
San Marcos High School
University of California, Irvine