Michael Loh

Michael Loh is an accomplished machine learning engineering leader currently working in ML research at Hedra. With a strong foundation in both machine learning and infrastructure concepts, they have driven significant product growth and productivity within ML teams. Previously, Loh held positions such as Staff Machine Learning Engineer at Plaid and Principal Software Engineer at Normal Computing. They earned a Master’s degree in Physics from the University of Chicago and are currently pursuing a Bachelor’s degree in Physics at UCLA. Throughout their career, Loh has demonstrated a commitment to building scalable ML applications and providing robust infrastructure support.