AI / Software Intern

Overview

Interned at PT Salam Pacific Indonesia Lines (SPIL), one of Indonesia's leading domestic shipping and logistics companies. Engineered two key systems: (1) Ship Operation System (SOS) — built an operational analytics dashboard and developed ML regression models for cargo capacity utilization forecasting per shipping route, reducing container allocation uncertainty and improving pre-departure vessel fill estimates; (2) Early Medical Warning System — built a web system aggregating extreme maritime weather forecasts and port medical records, implementing automated risk scoring alerts for crew health and safety notifications, and mapping high-risk route zones on interactive maps. Collaborated cross-functionally with domain experts to translate complex maritime logistics requirements into actionable software solutions.

Tech Stack & Skills

• Python
• Flask
• React.js
• PostgreSQL
• Scikit-learn
• Pandas
• NumPy