Summary
Nghia Le is a Member of Technical Staff with a decade of experience building large-scale, production ML and cloud systems, currently at Microsoft AI after six years at Google focused on Ads personalization, anti-fraud, and ML prediction improvements. He has deep expertise in distributed systems and resource optimization from his work on Google Kubernetes Engine (rightsizing, bin packing, GPU time-sharing) and prior contributions to Apache NiFi and Impala during internships at Cloudera. Interested in algorithms, visual computing and network science, he combines research instincts from undergraduate computer vision work with practical engineering that ships at scale. Based in Tokyo and active as an AI engineer on Google Cloud projects, Nghia is skilled at bridging ML models with infrastructure constraints to deliver efficient, robust systems.
10 years of coding experience