Summary
Ian Hardy is a Deployment Strategist at Palantir with 11 years of experience applying data-driven solutions to systems, organizations, and people. He has a strong foundation in machine learning and explainability from roles at Zest AI—where he helped publish work on robust explainability and built tools that cut manual analysis by 95%—and led ML efforts for mortgage servicing at Loviaco. Ian combines hands-on modeling, data engineering, and client-facing communication, having taught assembly, algorithms, AI, and statistics as a TA at UCSC. Based in New York, he brings a pragmatic focus on operationalizing models in high-stakes domains and a track record of turning complex technical findings into actionable recommendations for stakeholders.
11 years of coding experience
3 years of employment as a software developer
Engineering Physics, Freshman, Engineering Physics, Freshman at Colorado School of Mines
Computer Science, Computer Science at City College of San Francisco
University of California Santa Cruz
College Preparatory School
English, Spanish