Summary
Wei Teh is a Solutions Architect with 12 years of experience designing cloud-native big data and analytics platforms, now advising customers at AWS from Chesterfield, Missouri. He combines deep AWS expertise with hands-on engineering in Apache Spark, Airflow, containerized batch systems and ML pipelines, notably building genomic selection pipelines and elastic Spark-based model training at Bayer. Wei has a strong track record of scaling distributed workloads—engineering horizontal model training across hundreds of nodes and enabling high-concurrency genome assembly—while also driving DevOps, API/microservices design, and platform best practices. Early career roles in enterprise identity, metering and J2EE systems give him a pragmatic mindset for production reliability and cost-performance tradeoffs. He holds a BS in Computer Science from the University of Kansas and often blends research-oriented ML work with production-grade cloud architecture.
12 years of coding experience
13 years of employment as a software developer
BS, Computer Science, BS, Computer Science at University of Kansas
English, Chinese