Summary
Gary Goh is a data scientist with 10 years of cross-domain experience applying deep learning and large-scale data engineering to production problems across healthcare, gaming, IoT, and supply chain. Currently at WhiteCoat Global, he builds and productionalizes GenAI (LLMs, RAG, fine-tuning) and vision-powered OCR pipelines, while maintaining Databricks pipelines and MLflow-deployed agent models to improve clinical workflows and doctor efficiency. Previously at Sea he scaled recommendation systems on Spark for millions of daily samples, improving engagement metrics by substantial margins, and earlier roles combined optimization, forecasting and full-stack delivery for manufacturing and logistics. He pairs rigorous academic training (MEng Research, SUTD; BEng, NUS) with hands-on engineering—writing AppScript automation, AWS Lambdas, and embedded Unix software—to move research into reliable production. Notably, he validated a 500+ table database migration and built internal evaluation datasets to keep ML systems measurable in live environments.
10 years of coding experience
8 years of employment as a software developer
Master of Engineering (Research), Computer Science, 5.00 / 5.00, Master of Engineering (Research), Computer Science, 5.00 / 5.00 at Singapore University of Technology and Design (SUTD)
Bachelor of Engineering, Industrial and Systems Engineering, 4.32 / 5.00 (2nd Upper Honors), Bachelor of Engineering, Industrial and Systems Engineering, 4.32 / 5.00 (2nd Upper Honors) at National University of Singapore
English, Chinese