AI/ML Engineering Intern — A.P. Moller Maersk

On-site · Jan 2026 – present

• Built and maintained an AI-powered document extraction pipeline (GPT-4o vision + Azure Document Intelligence OCR) that auto-extracts payment data from proof-of-payment documents to release cargo shipments, processing ~$800M USD in transaction volume across 10+ countries (Philippines, Japan, South Korea, China, Hong Kong, Macau, and others).
• Designed a two-pass LLM extraction architecture with confidence-scoring and automated accept/human-review routing, achieving 90%+ extraction accuracy while keeping manual review load low at scale.
• Diagnosed and fixed production data-integrity bugs in financial field extraction (incorrect reference/date/account-number values) through root-cause analysis, adding deterministic validation safeguards against LLM hallucination; extended the platform to new markets end-to-end (country-specific logic, new fields, schema/database changes) without disrupting existing country pipelines.
• Built Grafana dashboards for observability and Hedwig-based governance with proactive alerting for the product.

Stack: GPT-4o vision · Azure Document Intelligence · LLM pipelines · Grafana · Hedwig