Summary
Yanan Valencia is a data and DevOps engineering leader with 11–12 years of hands-on experience and three years managing high-performing data and ML teams, currently leading DevOps and Data Engineering at PatientPoint. She has a track record of scaling teams and platforms—growing data platform teams from 1 to 8, hiring and mentoring aggressively, and shortening ML deployment cycles from days to under two hours. Her technical strengths span cloud-native AWS architectures, streaming and batch pipelines (Kinesis, Kafka, Snowflake, Databricks), model deployment with SageMaker, and cost-optimization that cut cloud spend by 40%. Known for bridging data science and product needs, she has delivered real-time replication, feature serving APIs, and fraud-detection ML pipelines that moved PoCs to production. Based in Hawthorne, CA, she pairs rigorous engineering discipline from Johns Hopkins with a gamer’s penchant for iterative problem-solving and performance tuning.
11 years of coding experience
12 years of employment as a software developer
University of California, San Diego
Johns Hopkins University
Bachelor's degree Electrical Engineering, Bachelor's degree Electrical Engineering at Beijing Institute of Technology
Chinese, English