# Jason D. > Software Engineer at Amazon, ex-Googler Location: Berkeley, California, United States Profile: https://flows.cv/jasond ## Work Experience ### Software Engineer @ Amazon Jan 2022 – Jan 2025 | Palo Alto, California, United States Amazon Ads ### Software Engineer @ Google Jan 2019 – Jan 2022 | MountainView Search and Youtube remarketing ads, targeting audience ### Software Enginner Intern @ Indeed.com Jan 2018 – Jan 2018 | San Francisco Bay Area • In dev and prod, designed and implemented data storage shift from AWS S3 to Mongodb and all ETL end points. Halved UI render time to 480ms and enabled more functionalities development due to flexible data storage. Migrated all data using multi-threading with zero failure. Used Java, Spring Framework, MongoDB and AWS S3/Batch/SQS. • Refactored current code and added tests, and increased test coverage from 42% to 80%. • For over 20 Sklearn, XGBoost and LightGBM machine learning models supported, implemented automatic hyperparameter value verification and incorporated into both the WebApp and DS library. Used Python and Jython. • Created new admin pages to monitor various ML build and resource usage statistics. Implemented backend logics, controller end points and admin authentication. Used React, Redux and Java. • Built prototype of Alexa extension for Indeed, and won 2nd Place and ‘Most Likely to Succeed’ award in hackathon ### Technology Consultant @ Dubai Chamber of Commerce & Industry Jan 2015 – Jan 2017 | Dubai, United Arab Emirates Consulting Project Megasourcing 2020, a Dubai Chamber - Alibaba Group joint project ### Intern NLP Engineer @ SAS Research and Development Co., Beijing Jan 2013 – Jan 2013 | Beijing Project: Developing Arabic Version of commercial software SAS “Sentiment Analysis” • Designed Python algorithms to tokenize 3 million+ Arabic text data, e.g. sentence segmentation and POS tagging • Implemented Naïve Bayes classifier and Turney Algorithm to perform Arabic NLP tasks including sentiment lexicon bootstrap, feature extraction, Tf-idf marking and sentence polarity analysis • Created Arabic Sentiment Analysis Models (linguistic and statistical patterns), as core of relevance prediction • Conducted evaluation and benchmarking of software alpha version, improved recognition accuracy by 67% ## Education ### Master of Science - MS in Information Management and Systems - Software Engineering concentration University of California, Berkeley Jan 2017 – Jan 2019 ### Master of Arts (M.A.) in Arabic Language and Middle Eastern Studies Peking University Jan 2012 – Jan 2015 ### B.A in Double Major in Economics and Arabic Peking University Jan 2008 – Jan 2012 ### High School Diploma NFLS ## Contact & Social - LinkedIn: https://linkedin.com/in/zhixuan-dai --- Source: https://flows.cv/jasond JSON Resume: https://flows.cv/jasond/resume.json Last updated: 2026-03-22