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Yu Cao 曹宇
Senior Machine Learning Engineer Bloomberg, New York, NY |
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I am a Senior Machine Learning Engineer/Software Engineer at Bloomberg AI Finance, building ML pricing systems for fixed-income securities. I currently work on municipal bond pricing(BVAL) — benchmark-curve modeling, backtesting, and credit-rating and pricing-quality tooling — after roughly two years across the full ML lifecycle for real-time intraday corporate-bond pricing(IBVAL), covering roughly 45k bonds every 15 seconds. Before Bloomberg, I left the PhD program at the distributed systems research team in the Computer Science Department, Courant Institute of Mathematical Sciences, New York University, with a master's to work on applied ML. During my time at NYU, I interned at ByteDance Applied Machine Learning and AWS AI. Prior to NYU, I had my B.E. and M.S. in Beihang University. |
Updates
Research Intern for at Bytedance Applied Machine Learning Systems team for optimizing resource efficiency for large scale DNN inference service.
Teaching Assistant for at Distributed Systems graduate class for NYU CS 2019 Fall.
Applied scientist intern in AWS AI at Rekognition Team developing deep learning methods for multi-lingual text detection.
Competition Winner of Atomic Video Action Recognition Challenge in CVPR 2018 Workshop on human action recognition using 3D convolution and non-local networks.
Publications and tech report
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Serving DNN Models with Multi-Instance GPUs: A Case of the Reconfigurable Machine Scheduling Problem |
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Fast and Resource-efficient Hardware Implementation of Modified Line Segment Detector |
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Minimal Non-Linear Camera Pose Estimation Method Using Lines for SLAM Application |
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Human Centric Spatio-Temporal Action Localization |