Summary
Ryan Clark is a software engineer at Palantir with eight years of hands-on experience building backend and full-stack systems, currently contributing to the Artificial Intelligence Platform after developing ML Ops APIs and Python infrastructure on Foundry Modeling. A Caltech graduate with a dual focus in Computer Science and Economics, he specializes in high-level data aggregation, manipulation, and representation, and has a track record shipping data ingestion tools, microservices for financial risk visualization, and scientific software ports. Comfortable across the stack, Ryan blends rigorous academic analysis—evidenced by research on cognitive bias datasets—with practical production work such as database performance tuning and incident management. Based in Palo Alto, he brings a pragmatic engineering approach to complex data problems and an interest in turning messy, large-scale data into reliable, usable systems.
8 years of coding experience
2 years of employment as a software developer
California Institute of Technology