Summary
Max Johansen is a seasoned Data Engineer with 12 years of experience building distributed computation, AI-driven solutions, and full-stack web applications. Currently at Aumni, he designs ETL pipelines for VC data using Airflow, Snowflake, and Ruby on Rails, and previously architected large-scale data systems at The Walt Disney Company. His background spans startups and enterprise, from improving matrix multiplication at Lawrence Livermore to securing web infrastructure at Salesforce and accelerating product development across healthcare and edtech. Max blends research-rooted machine learning experience (co-founding an ML group at Berkeley focused on homomorphic encryption and distributed RL) with hands-on production engineering, making him adept at taking experimental models into reliable pipelines. Based in Salt Lake City, he brings a pragmatic mix of algorithmic depth and operational discipline that reduces costs and speeds delivery.
12 years of coding experience
9 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at University of California, Berkeley
Spanish