AI Product Engineering at DataRobot

Overview

As an AI Product Engineer at DataRobot, I delivered full-stack AI product features for enterprise users, owning implementation across React/TypeScript frontend modules, Python/Node.js backend services, APIs, and data-workflow components.

What I built

• AI workflow interfaces for model monitoring, data exploration, prediction review, and business decision-support use cases.
• Backend APIs and service logic connecting application workflows to machine learning models, data pipelines, prediction services, and third-party integrations.
• Production-ready experiences, built with ML engineers and data scientists, that turned AI capabilities into reliable SaaS features people found easy to use.

Technologies

• Frontend: React, TypeScript
• Backend: Python, Node.js, REST APIs
• Data & ML: model monitoring, prediction services, data pipelines

Impact

I made the system faster and easier to maintain by optimizing API response flows, refactoring shared modules, and adding test coverage. I also supported production releases with debugging, incident investigation, and code reviews, working closely with the product, QA, and platform engineering teams.

DataRobot is an enterprise AI/ML platform. The work described here reflects my contributions as a member of the engineering team.