Summary
Aidan Tan is a software engineer based in Berkeley with 11 years of experience building product-focused systems at startups and education ventures. He spent five years at Personal.ai working on memory-augmenting AI and now contributes to Agave, blending applied machine learning with production engineering. With a dual background in Computer Science and Education from UC Berkeley and hands-on roles teaching and leading at The LEAGUE of Amazing Programmers and iARoc Robotics, he brings a user-centered perspective to technical design, especially around personalized learning. Passionate about reducing education disparities, he focuses on accessible, personalized learning experiences that scale, pairing pedagogy-savvy intuition with pragmatic engineering. An underappreciated strength is his continuum from instructor to engineer, which helps translate classroom needs directly into product features.
11 years of coding experience
6 years of employment as a software developer
Bachelor's degree Computer Science and Education, Bachelor's degree Computer Science and Education at University of California, Berkeley