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A machine learning scientist working in Payment/Fintech industry with billions of transactional data by leveraging Big-Data tools, such as Pyspark, Hive and Deep learning/Machine learning to deploy model in production. 3+ years plant image processing and hyperspectral image data mining and visualization experience; 3+ years experiences of deploying products end to end as a tech lead.6+ US patents filled for applying deep learning in payment/finance industry6+ years programming experience in Python (with different packages ) for data analysis, data mining and machine learning;10+ years research experience in Physics dealing with real world data and data analysis;10+ presentations to researchers and industry collaborators at different conferences.
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Machine Learning EngineerMeta Apr 2022 - PresentMenlo Park, Ca, UsDevelop deep learning models to ensure the safety and integrity of Meta's platforms (such as Facebook, Instagram, etc.) by detecting various types of policy-violating content such as posts, comments, images and more.1, Leveraging Large Language Models (LLMs) throughout the entire Machine Learning (ML) model development cycle, including utilizing Generative AI for data generation and agent labeling.2, Designing and implementing comprehensive processes for developing and deploying Multitask-Multimodal Integrity Classifiers. -
Ml Scientist IvVisa May 2021 - Apr 2022Foster City, California, UsWorking at Visa Research and developing deep learning models with payment data. Actively implementing the cutting-edge deep learning algorithms in payment industries to solve real world business problem. (Tensorflow/Scala/Python). ►Converting transaction data to images and leveraging CNN to solve the merchant data breach problem. (One US patent filed) ►Developing new transaction level neural network embedding to borrow the power of NLP models to the payment industry. (One US patent filed)►Leading other unsupervised fraud detection projects and building deep learning models to detect the collusive crime activities in a payment network. (Two US patents filed)►Building Model explainability modules for complexity deep learning models. (LIME, SHAP and Beyond.) -
Staff Machine Learning ScientistVisa Jun 2019 - May 2021Foster City, California, Us
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Data ScientistJpmorgan Chase & Co. Dec 2017 - May 2019New York, Ny, UsResponsible for developing and implementing scalable ML algorithms (via PySpark and Data Pipeline) to understand ~50 Million Chase customers' cash flow/financial health. With the cash flow predictions, we make better recommendations for customers to invest with Chase, which feeds into the You Invest Project. (See the media report below)The business impact of my work is achieved though the following technical implementations:◆ Develop and implement algorithm to parse recurring transactions and make robust forecasting◆ Implement scalable time-series models to predict cash flows for each individual customer ◆ Build/Improve data pipeline to clean data and deliver results for production
Shi Cao, Ph.D. Skills
Shi Cao, Ph.D. Education Details
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University Of Nebraska-LincolnPhysics -
University Of Nebraska-LincolnComputer Science
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Institute Of Physics & Beijing National Lab For Condensed Matter Physics,Chinese Academy Of SciencesCondensed Matter Physics
Frequently Asked Questions about Shi Cao, Ph.D.
What company does Shi Cao, Ph.D. work for?
Shi Cao, Ph.D. works for Meta
What is Shi Cao, Ph.D.'s role at the current company?
Shi Cao, Ph.D.'s current role is Machine Learning Engineer @Meta.
What is Shi Cao, Ph.D.'s email address?
Shi Cao, Ph.D.'s email address is sc****@****unl.edu
What is Shi Cao, Ph.D.'s direct phone number?
Shi Cao, Ph.D.'s direct phone number is +140247*****
What schools did Shi Cao, Ph.D. attend?
Shi Cao, Ph.D. attended University Of Nebraska-Lincoln, University Of Nebraska-Lincoln, Institute Of Physics & Beijing National Lab For Condensed Matter Physics,chinese Academy Of Sciences.
What skills is Shi Cao, Ph.D. known for?
Shi Cao, Ph.D. has skills like Python, C++, Machine Learning, Data Mining, Data Analysis, Matlab, Mathematical Modeling, Sql, Databases, Physics.
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