Summary
Michael Dickens is an independent researcher and software engineer based in Berkeley with 12 years of professional experience and a B.S. in Mathematical and Computational Sciences from Stanford. He previously spent four years on Affirm’s identity engineering team and has interned at Facebook, Gusto, and Sourcegraph working on data pipelines, regression analysis for payroll integrity, and custom language tooling. Comfortable across systems and data-focused engineering, he’s been programming since 2006 and often explores projects documented on his personal projects page. His background blends rigorous mathematical training with practical product-oriented engineering, enabling him to bridge experimental research and production systems. As an independent researcher since 2021, he continues to pursue applied problems in identity, data infrastructure, and tooling outside of traditional corporate roles. An understated detail: his early work on custom syntax analysis and production logging pipelines shows a propensity for low-level tooling that scales to product-level features.
12 years of coding experience
5 years of employment as a software developer
Bachelor of Science (B.S.), Mathematics and Computer Science, Bachelor of Science (B.S.), Mathematics and Computer Science at Stanford University
English