About

I am an Applied AI/ML Engineer focused on building production agentic and conversational systems. My core interest lies in taking AI from research into reliable, real-world infrastructure, specifically in LLM orchestration, RAG pipelines, and multimodal AI. I care about systems that actually work at scale, not just in demos.

I hold a B.Eng. in Computer Engineering from the University of Ilorin. Professionally, I have worked as an AI Engineer at 5.Y (Singapore) and before that as a Machine Learning Engineer at Vendease (YC W21). Each role pushed me deeper into production AI, from architecting multi-channel messaging infrastructure to building Text-to-SQL tools used across hundreds of daily queries.

At 5.Y, I worked on GLUCOSE and architected a multi-channel messaging system on AWS serverless that powered a 45-minute autonomous consultation flow and drove high-intent enterprise conversion at the first healthcare soft launch. I built an automated UAT pipeline that simulated 71 patient interactions across 48 personas, reduced QA cycles from days to under 2 hours, and achieved a 4.8/5.0 GO score, while also shipping low-latency integrations across six consumer messaging apps (WhatsApp Business, Facebook Messenger, Instagram, Telegram, Viber, WeChat) and web-native Crisp chat with automated readiness checks for live deployments.