Deep Data Insight — Software Engineer

Python backend APIs serving complex machine-learning model outputs at scale.

// problem

Problem

Complex ML model outputs had to be exposed reliably to production consumers at scale.

// approach

Approach

Designed and implemented Python backend APIs over ML pipelines, built tightly-integrated frontends, and owned deployments and knowledge-transfer for junior developers.

// impact

Impact

Contributed to production ML performance and shipped end-to-end ML-backed features.