# Cangcheng (Can) Tang > Principal AI Scientist at Verizon Location: Boston, Massachusetts, United States Profile: https://flows.cv/cangcheng M.S. Candidate in Data Science at Brown University ## Work Experience ### Principal AI Scientist @ Verizon Jan 2025 – Present | Boston, Massachusetts, United States ### Senior Data Scientist @ Verizon Jan 2022 – Jan 2025 | Boston, Massachusetts, United States ### Software Engineer (Game Dev) @ Mountainvania Game Jan 2021 – Present | Providence, Rhode Island, United States • Acted as a lead C# developer, designed and implemented gameplay mechanics, player controls, and enemy AI • Built internal packages to handle real-time visual effects, e.g., lighting, particles, camera movements, and postprocessing • Customized Unity’s physics engine for complex simulations and smoother gameplay ### Machine Learning Engineer @ Restaurant Brands International Jan 2021 – Jan 2022 | Miami, Florida, United States • Created an ML package and standardized model training pipeline for the team, which vastly boosted model development speed and brought features like experiment tracking, model management, and multi-machine distributed training • Developed various deep learning models as recommendation systems and forecasting engines • Performed ML service deployment and maintenance • Built a conversational AI agent that can handle complex drive-thru ordering scenarios and enhance customer experience ### Graduate Teaching Assistant @ Brown University Jan 2020 – Jan 2021 | Providence, Rhode Island, United States Teaching assistant for Probability, Statistics and Machine Learning, Hands-on Data Science, and Deep Learning. • Designed lectures about NLP concepts like LSTM, CNN, attention, and BERT using MXnet and TensorFlow • Created 40% quiz and homework on statistics and machine learning topics; led and managed 30% students’ final projects ### Software Engineer Intern (Machine Learning) @ Professional Fighters League Jan 2020 – Jan 2020 | New York City Metropolitan Area • Built a Neo4j database for MMA fights; performed weighted PageRank to get fighter rankings within the league • Developed customized Logistic Regression and Random Forest models to impose constraints on feature importance • Performed feature engineering and customized data splits to increase model stability and reduce bias from data collection • Combined PageRank with the customized models, reached an accuracy of 89% ### Asia Product Strategy Intern @ Luxottica Jan 2019 – Jan 2019 | Shanghai City, China • Used Python, SQL and VBA to automate monthly data cleaning and report generation, which used to take a whole day • Analyzed quarterly consumer feedback of 28 brands; Visualized and presented impacts on 3 regions and 11 markets • Provided eyewear designing concepts for the 14 main brands based on market research and analysis ### Part-time Assistant at DT&A @ Oliver Wyman Jan 2018 – Jan 2018 | Shanghai City, China • Assisted in building an LSTM model for distinguishing spam and user reviews on social media streams • Built web crawler pipelines using Python and MongoDB; Scraped 2000+ data points for various market research projects • Designed summary tables and graphs using Excel and VBA to reflect changes and trends on data crawled • Used multiple financial databases to search data of more than 20 financial sectors and 9,000 institutions; Calculated penetration rates for the use of technologies like biometrics and machine learning in China ### Researcher Intern @ GIM Gesellschaft für innovative Marktforschung mbH Jan 2017 – Jan 2018 | Shanghai City, China • Realized speech-to-text process for simultaneous interpretation of market survey, using Python and IBM Watson • Participated in the collection and analysis of the 12-hour long audio survey on Bosch’s new research website ### Backend Engineer Intern @ Shanghai Cotong Software Co., Ltd. Jan 2017 – Jan 2017 | Shanghai City, China • Worked with product managers, help designed UI and functionalities for Financial Statements, Expenses, and Logistics modules in the ERP app • Used Python, XML, MySQL to build Logistics and Expense modules in the app, deployed to production ## Education ### Master of Science - MS in Data Science Brown University ### Bachelor of Science - BS in Fiancial Engineering Shanghai University of International Business and Economics ## Contact & Social - LinkedIn: https://linkedin.com/in/can-tang --- Source: https://flows.cv/cangcheng JSON Resume: https://flows.cv/cangcheng/resume.json Last updated: 2026-03-31