Summary
Langston Nashold is a software leader and founder with eight years of experience building high-performance systems and tooling for ML evaluation and deployment, currently serving as CTO of vals.ai. He combines deep systems training from Stanford (CS, 4.04 GPA) with hands-on industry experience across HFT, social media, graphics, and cloud teams at Hudson River Trading, Meta, Snap, NVIDIA, and Salesforce. Langston has blended research and engineering—contributing to AI + Climate research and embedded OS and cubesat projects—demonstrating an ability to move from low-level systems to large-scale ML evaluation. As a founder he focuses on rigorous evaluation for LLMs, applying quantitative, production-minded approaches learned in algorithmic trading and cutting-edge AI settings. Notably, he left a Masters AI program to pursue product and research-led entrepreneurship, reflecting a bias for building over credentialing. Based in Palo Alto, he brings startup velocity plus experience from top-tier tech labs to tackle hard model-evaluation problems.
8 years of coding experience
2 years of employment as a software developer
High School Dual Enrollment Program, High School Dual Enrollment Program at University of Wisconsin-Madison
Cohort 3, Cohort 3 at Prod
Bachelor's degree, Computer Science, 4.04, Bachelor's degree, Computer Science, 4.04 at Stanford University