← Work
ML tooling & technical leadership
Improving how data science gets done.
Applying AI tooling to recurring workflow bottlenecks, with clear review and engineering standards.
The opportunity
Feature discovery, documentation, and repeatable reviews can become bottlenecks as a codebase and team grow.
The approach
Our published work describes repository-aware skills for finding and creating features, producing documentation, reviewing ML changes, and checking production readiness. Senior contributors remain responsible for architectural decisions and validation.
Published accounts
I co-authored these accounts with Manchit Madan and Nafi Ahmet Turgut.