Work

Caliber Boards

Machine Learning Engineer Intern

March–June 2026 · Irvine, CA

• Implemented an XGBoost model for candidate risk assessment, improving AUC by 33% over baseline.
• Populated PostgreSQL with 493 candidate profiles, joining raw data on 1,200+ platform users.
• Developed a data pipeline resolving UUID discrepancies and merging 725 records into a training dataset.