Conducted research on multimodal artificial intelligence for biomedical applications, including knowledge graph construction, machine learning, and explainable AI.

Built and evaluated biomedical knowledge graphs from heterogeneous data sources (clinical reports, EHRs, imaging), improving entity linking accuracy by 7% compared to the previous model.

Maintained 300+ course portfolio, ensuring accuracy, positively impacting course enrollment and client retention

Increased data processing efficiency by 35% through automated Excel workflow templates

Collaborated in a 5-person agile development team to enhance website content and functionality, improving the user experience

Automated export of 100+ weekly patient records to Excel, cutting manual data entry by 65% and improving data accuracy

Improved patient record retrieval performance by introducing database indexing, cutting query latency by 40%

Applied Domain-Driven Design to structure medical processes, improving maintainability while reducing codebase size by 25%

Achieved zero downtime deployments by applying a Blue/Green deployment strategy with GitHub Actions and Go script