Olumide J.

Your AI passed the demo. Three months later, it's quietly giving customers wrong answers. Nobody has noticed yet. I'm the AI engineer who notices first. I build AI agents, LLM systems, RAG and voice AI that stay accurate after launch. That's how most AI fails. Not with a crash. In silence. I'm Olumide, a Top Rated Plus AI architect with a 100% Job Success Score. I build AI that keeps working after the applause stops. Here's the part nobody talks about. Most AI freelancers get you to launch day, hand over the code, and move on. That's exactly when the trouble starts. Real users ask questions nobody tested. Your data shifts. The model provider changes something overnight. Accuracy slides, and your dashboards still say everything is fine. I work differently. Before I build, I collect real questions your users ask and turn them into a test. I score your AI against it at launch. Then again every month. I call it the Production Scorecard. One number. You always know whether your AI still works. Why I care this much? I don't only build AI for clients. I co-own and run AI products that are live right now: a voice-AI platform that handles flight compensation claims, and an adaptive AI tutoring platform. When they break, it's my own money on the line. So I build yours the way I build mine. A few recent results: - Cut processing time 73% on a real-time computer vision pipeline using TensorRT - Deployed demand forecasting that saves $200k+ a year in inventory waste - Ran edge AI diagnostics under 50ms on NVIDIA Jetson Who I work with: Founders. Your demo wins investors. I make sure it survives your first real customers and your first enterprise pilot. Production-ready in 6 weeks, with no rebuild after your raise. Growing businesses. You don't have an AI team, and you shouldn't need one. I automate one workflow that matters, measure the hours saved in your own numbers, and keep it working. Enterprise teams. Your pilot works. What's stuck is security review, integration and ownership. I work inside your governance and get it to production in 8 weeks, without adding headcount. What I build: AI agents and LLM workflows (LangGraph), voice AI, RAG systems that cite their sources, computer vision and edge AI. Shipped on FastAPI, Docker and AWS, with evaluation and monitoring built in from day one. My promise: we agree on a Scorecard target before we start. If launch misses it, I keep working at no extra cost until it hits. What clients say: "A great upworker knows his stuff" "I will be contracting him for many more projects" Not a fit if: You want the cheapest bid. You need a demo to impress a room, with no plan to put it in front of real users. Or you want research with no path to production. Here's the next step. Send me three things: what your AI does (or should do), where it's letting you down, and your deadline. Within 24 hours, I'll tell you where I think it will break, how I'd fix it, and what it would take. No pitch deck. Just a straight answer.