Summary
Alex Seo is a Machine Learning Engineer with 8 years of experience and 5+ years focused on applied ML research, currently building scalable models at Nextdoor after leading impactful projects at USC ISI. He designs production-ready statistical and probabilistic systems—from hierarchical Bayesian models that quantified uncertainty in noisy EMG signals to transformer-based models that improved nutritional health outcome prediction by 70%—and has driven operational savings via recommender systems. Alex blends strong academic training in statistics (USC, UW–Madison) with hands-on engineering skills in deployment (GCP, Docker, PyTorch, Stan), often translating complex causal and econometric methods into policy-relevant insights. Notably, he has applied representation learning to NASA GeneLab data to reveal interpretable gene-expression patterns from space-grown plants, demonstrating a knack for interdisciplinary problems that span public health, retail, and life sciences.
8 years of coding experience