Machine Learning Engineer at Hiretual
New York City Metropolitan Area
Senior Machine Learning Engineer @ EvolutionIQ (formerly DeepFraud AI) From December 2019 to March 2020 (4 months) Greater New York City AreaData Scientist @ ASTRI Knowledge Graph Project• Developed tools to construct knowledge graph for company risk monitoring, in order to help financial institutions identify entities that are impacted by risk-related events.• Implement Siamese LSTM (Bi-LSTM, GRU)...
Senior Machine Learning Engineer @ EvolutionIQ (formerly DeepFraud AI) From December 2019 to March 2020 (4 months) Greater New York City AreaData Scientist @ ASTRI Knowledge Graph Project• Developed tools to construct knowledge graph for company risk monitoring, in order to help financial institutions identify entities that are impacted by risk-related events.• Implement Siamese LSTM (Bi-LSTM, GRU) from scratch, to merge entities and relations with different formats. The AUC of the model is 99.9%.HSBC Project• Help HSBC risk management team build a deep learning model to analyze the HKEJ and HKEX news, use CNN model to figure out potential risk of target companies.• Stack non-text features (e.g.: frequency of target company mentioned) onto the fully connected layer of CNN, improve AUC of model by 6%.Manulife Project• Help Manulife build an efficient social network comments sentiment classification system, use CNN model to find out negative comments or posts. • Use data from different domain (e.g.: e-commercial comments data) to train the sentiment analysis model by using Domain Adversarial Neural Network (transfer learning method).SAE Project • Help SAE build a production issue root cause identification system by using Random Forest model with Spark mllib and python scikit-learn libraries. • Use KDtree to detect abnormal trends of SAE’s production data, save their labor cost on figuring out these trends manually. From April 2017 to December 2018 (1 year 9 months) Hong KongSoftware Engineer @ Huawei Technologies • Participated in NE40E (internet backbone core router) micro system development. Implemented multi-protocol transcoding framework.• Conceived and compiled SDH Protocol mandatory training courses for new joiners using spare time. Won President Award of the year 2007 (1%) with this contribution.• Built expertise in SDH Protocol area within one year. Became the youngest lecturer for mandatory training courses for new joiners.• Designed and developed the contingency module (CanBus) of NE5000E (internet backbone core router). Improved system resilience and stability. From 2006 to 2012 (6 years) 中国 广东 深圳NLP/Deep Learning Researcher @ Machine Intelligence Center, Lenovo Group Limited • Design and developed a BERT based relation extraction model to extract the person-organization relation from sentences, got a 95% AUC score whereas the classic w2v-LSTM architecture got 85% on test set.• Implement BERT based Bi-LSTM-CRF model, to help identify the name entities (e.g. organization, person, location, etc.) from texts. The AUC of the model reaches 99.9%. From December 2018 to October 2019 (11 months) Hong Kong
EvolutionIQ (formerly DeepFraud AI)
Senior Machine Learning Engineer
December 2019 to March 2020
Greater New York City Area
ASTRI
Data Scientist
April 2017 to December 2018
Hong Kong
Huawei Technologies
Software Engineer
2006 to 2012
中国 广东 深圳
Machine Intelligence Center, Lenovo Group Limited
NLP/Deep Learning Researcher
December 2018 to October 2019
Hong Kong
What company does Yu Zhou work for?
Yu Zhou works for EvolutionIQ (formerly DeepFraud AI)
What is Yu Zhou's role at EvolutionIQ (formerly DeepFraud AI)?
Yu Zhou is Senior Machine Learning Engineer
What industry does Yu Zhou work in?
Yu Zhou works in the Information Technology and Services industry.
Who are Yu Zhou's colleagues?
Yu Zhou's colleagues are Zita Cheng, Meikei Ieong, Jun CHEN, Jeff Chung, Terry Chan, Tatiana Aldyn-ool, Jacky Yeung, Kangheng Wu , Kent, Roman Plášil, and Michael Wong
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