# Yuxiang Hou > Software Engineer @Microsoft | Ex-Doordash | Ex-Amazon | Ex - Tempus | USC Alumni | ML Expert Location: New York, New York, United States Profile: https://flows.cv/yuxianghou opportunity as #machine learning engineer/#data scientist/#software engineer in Los Angeles, San Francisco, and Seattle. Language: Java, Python, Scala, SQL Web Service: AWS, Google Cloud Tech: machine learning, Deep Learning, Spark, Hadoop, Tensorflow, Docker Architecture : Object - Oriented, Design Pattern, System Design. Database: SQL, NoSQL, MongDB ## Work Experience ### Software Engineer II @ 微软 Jan 2024 – Present | 美国 华盛顿州 雷德蒙德 Azure Storage ### Software Engineer II @ DoorDash Jan 2022 – Jan 2024 | New york city 1.Designed and implemented multiple impactful Ads projects: Led the development of Happy Hour, Sponsored Alcohol, and SponsoredBrand projects, utilizing Kotlin, Redis, Elastic Search, Cassandra, and Kafka technologies. Increase Ads revenue around 15M in 2023. 2.Enhanced ad visibility: Designed and implemented Sponsored Brand feed and ad-exchange service integration, optimizing ad placements across various surfaces, including category and home pages. This led to an immediate revenue boost upon the M1 launch. 3.Implemented advanced sponsored brand ranking: Successfully executed complex sponsored brand ranking and auction logic using ML algorithms during the M2 launch. 4.Optimized system performance: Developed a sophisticated caching strategy leveraging Redis to minimize dependency calls, resulting in improved system reliability and scalability. ### Software Engineer @ 亚马逊网 Jan 2019 – Jan 2022 1.Design, Scope and Build scalable, robust inventory planning system to help Amazon optimize inventory balancing transfer using Java, Spring, AWS. 2.Cooperate with research scientist to implement and optimize multiple Linear Programming algorithms to help AMAZON optimize inventory transfer and help AMAZON saved 25 Million dollars in 2020. 3.Created and implemented Multiple-Lab-Architecture on Inventory planning team to run multiple A-B testing parallel simultaneously. 4.Scaling and Descaling on Inventory Planning team to adjust the traffic of AMAZON Prime Day. ### Software Engineer(Data Delivery Team) @ Tempus, Inc. Jan 2019 – Jan 2019 | Chicago • Implemented Python code and Apache Airflow DAG to periodically update 3 million cancer patients datasets. • Built Healthcare resilient data pipelines in production and implemented the ETL/ELT to load a data warehousing via AWS S3, Redshift. • Implemented PostgreSQL query and utilized Flyway to automatically update schema and views in data warehouse. • Improved data fetch server scalability 10 times via redesign REST API. • Trained AWS machine learning models via SageMaker, and informed patients their sequencing DNA/RNA via SNS/SQS. ### Research Programmer Intern @ Information Sciences Institute Jan 2018 – Jan 2018 | Los Angeles • Designed and owned US Disaster analytics and alert platform based on real-time twitter messages. • Created automatic topic modeling data pipeline via NLTK, Spacy, Gensim library. • Built disaster topic classification algorithm through random forest and RNN. • Established Disaster Recommendation System based on retweet numbers and emotion detection obtained from IBM Waston Tone Analyzer. ### Data Science Intern @ American Institute for Behavioral Research and Technology Jan 2017 – Jan 2017 | San Diego 1.Designed filtering algorithm to remove duplicate and messy data from 628715 sexual orientation survey results from http://mysexualorientation.com 2.Utilized machine learning models like random forest and logistic regression to predict and label users sexual orientation. 3.Built Multivariate normal distribution models to reflect sexual orientations. ### Senior Data Analyst @ Changjiang Institute of Survey, Planning, Design and Research Jan 2015 – Jan 2015 | Wu Han 1.Calculated Chris island electric load via R on the basis of historical island electric load. 2.Established Island electric load databases Through Excel within two weeks. 3.Designed power systems of Chris island and compared two different schemas. 4.presented total economic budget and choosed the economical designing plan. ## Education ### Master's degree in Data Science and Engineering University of Southern California ## Contact & Social - LinkedIn: https://linkedin.com/in/yuxiang-hou-a02100129 - Website: https://github.com/yuxiangh --- Source: https://flows.cv/yuxianghou JSON Resume: https://flows.cv/yuxianghou/resume.json Last updated: 2026-04-05