Dat Ngo is a data scientist and MS Intelligent Systems graduate with nine years of experience building production ML systems, recommender models, and research prototypes across startups and large labs including 7-Eleven, Meta Reality Labs, and Samsung. He blends hands-on MLOps and scalable item-retrieval engineering with academic research in text and graph generation under Prof. Jessica Ouyang, evidence of his ability to move ideas from papers to production. His toolkit spans Python, PyTorch/TensorFlow, HuggingFace, graph libraries (NetworkX, RDKit), PySpark and AWS, and he has delivered feature stores, metadata management, and drift analysis pipelines to reduce operational cost. Notably, he developed graph-based basket recommenders and end-to-end automation that accelerated model deployment at scale. Based in Plano, TX, he pairs tutoring and teaching experience with applied research insights, making him effective at translating complex ML concepts for cross-functional teams. He is actively open to NLP- and graph-focused research or engineering roles that bridge production impact and novel model development.
9 years of coding experience
4 years of employment as a software developer
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at The University of Texas at Dallas
Collin College
Business Administration and Management, General, Business Administration and Management, General at University Of Economics Ho Chi Minh City
Contributions:113 pushes, 1 branch in 2 years 6 months
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