Summary
Pradyumn Pagadala is a Senior Software Engineer in Austin with 11 years of experience building data- and cloud-first systems for health technology and genomics. He has designed and operated APIs, data pipelines, and AWS infrastructure to enable medical device and pharma customers to discover insights from medical claims and bioinformatic datasets, and helped scale GWAS and PRS pipelines at 23andMe. Comfortable across Python, Spark, Kubernetes and Snowflake, he blends data engineering, distributed systems and statistical collaboration to move predictive models from research into production. His background spans petabyte-scale data warehouses to real-time analytics, and he has a knack for translating complex biomedical questions into pragmatic, auditable pipelines.
11 years of coding experience
8 years of employment as a software developer
Minor Business, Minor Business at Texas McCombs School of Business
Bachelor of Science (B.S.) Computer Science, Bachelor of Science (B.S.) Computer Science at The University of Texas at Austin
English, Telugu