Oyebanji Adegboyega

I’m an AI Systems Engineer with 3+ years building autonomous multi-agent systems, AI automation pipelines, and scalable backend infrastructure. I design and deploy production-grade AI systems that reduce manual workflows and operate reliably at scale.

In my work, I focus on cohesive solutions that combine LLMs, backend engineering, and security. I built OpenClaw, an orchestration platform with agent-core planning, vector memory, and self-correction, plus automation-engine retries and fault-tolerant execution—cutting time-to-production from weeks to hours and reducing downtime by ~90%. I also created xander-operator to automate research and form filling using Playwright + LLM reasoning, with human approval gates and structured JSON/HTML reporting, improving completion time by 70% and reducing error rates through validation.

To simplify operations across multiple services, I engineered xander-nexus: a unified control plane with a Next.js real-time dashboard, agent lifecycle management, security scan integration, and operations metrics. For deployment confidence, I developed aiopsx with rollback, audit trails, and health checks—reducing outage duration by 95% and cutting deploy time from days to minutes via immutable PostgreSQL logging.

For deterministic output and quality control, I built auto-sme using structured Jinja2 templates, LLM filling, and WeasyPrint PDF generation with QA validation—reducing generation time to 4–6 hours and achieving a 98% QA pass rate. For visibility and intervention across fleets, I created HiveSec, a Streamlit security dashboard with scan monitoring, unified findings storage, and incident detection time reduced by 80%—designed to automatically extend as new agents join.