Troy Xiao is a Principal Associate in Data Science with eight years of experience applying machine learning and cloud engineering to production problems, currently driving data initiatives at Capital One in McLean, VA. He has a strong Python-first approach and a track record building end-to-end computer vision solutions—taking a sewer pipeline defect detection system from POC to commercialization while designing custom evaluation metrics and automating large-scale annotation workflows. Troy combines hands-on model development (YOLO, CNNs) with cloud-savvy deployment and integrations on AWS and Azure, including building APIs and automating data pipelines. His background blends an MS in Computer Science from Georgetown with a BS in Math & CS from UC San Diego, reflecting solid theoretical grounding alongside practical product delivery. Notably, he has led cross-functional teams and scaled annotation and inference infrastructure to process 20,000+ videos, a detail that highlights his focus on operationalizing ML, not just prototyping.
8 years of coding experience
5 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Georgetown University
Contributions:6 PRs, 32 pushes, 1 branch in 12 days
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