Summary
Spencer Teng is a Machine Learning Engineer with 12 years of experience building end-to-end AI/ML products and operationalizing models at scale from research to production. Based in Copenhagen, he currently leads ML workflow standardization and MLOps practices at Pandora, after driving NLP, chatbot automation, and risk triage initiatives at Nordea. His background spans medical imaging, bioinformatics, and applied computer vision—co-founding a gut-microbiome startup and publishing work on MRI segmentation—demonstrating comfort across research, product, and engineering. Spencer pairs hands-on model development (TensorFlow, Keras, scikit-learn) and API productionization with infrastructure skills (Docker, AWS, Elastic Stack), and brings a practical knack for turning complex data problems into reliable, auditable services. Notably, he has delivered production-grade solutions both as a top-rated ML consultant and as an in-house master expert in financial services.
11 years of coding experience
6 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at National Taiwan Ocean University
Master's degree, Computer Science, Master's degree, Computer Science at Københavns Universitet - University of Copenhagen