Selected work
AI engineering, from data to delivery
I’m Peterson Oaikhenah. I build the data and backend systems behind AI workflows, test how they behave, and design the handoffs that give people control. I’ve worked on recommendation pipelines for publishers and agent workflows for advertisers. Those systems shaped how I build and evaluate AI today.
01 · Data Engineering → AI Engineering
I updated recommendation preparation jobs and helped validate both historical backfills and incremental updates on a platform configured for 37 production publishing sites. Keeping publishing recommendations current.
02 · Backend Engineering → Applied AI
I built request context and account scoping for parts of a Python advertising agent workflow and made runs easier to trace. Account-aware agent workflows for Google Ads.
03 · Agentic Workflows
I built a repeatable application preparation workflow that hands final submission back to the applicant. Career-agent and the applicant handoff.
04 · AI Enablement
I built a way to review and replay model failures and packaged an offline example other engineers can run. LLMCheck and repeatable AI evaluation.
05 · Forward-Deployed Engineering
A proposed support pilot showing how I would work with operators to define success, integrate a bounded workflow, evaluate it, and hand it over. A forward-deployed AI field brief.