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Berk Coker has a diverse work experience, starting in 2015 with an internship at Kanjoya, Inc, where they worked on building the machine learning backend for a topic detection model. In 2016, they interned at Salesforce, contributing to the ProductivityIQ team as a machine learning intern. Berk focused on developing a test prioritization model to identify tests most likely to fail before merging code changes, aiming to improve product development efficiency. In 2017, Coker joined TeachFX as a co-founder and CTO. At TeachFX, they utilize AI and education research to provide personalized insights and data to teachers, helping them understand the impact of their instructional practices on student engagement and equity. Additionally, Coker worked as a Graduate Teaching Assistant at Stanford University School of Engineering in 2017.

Berk Coker obtained a Bachelor's Degree in Computer Science (AI) from Stanford University, from the year 2013 to 2017. Subsequently, they pursued a Master's Degree in Computer Science (AI) from Stanford University, from 2017 to 2018.