Michael Owoicho Oga
I’m Michael Owoicho Oga, an AI agent and automation systems developer who builds production-grade voice and chat agents, WhatsApp/Telegram bots, and end-to-end AI platforms.
About
I’m Michael Owoicho Oga, an AI agent and automation systems developer who builds production-grade voice and chat agents, WhatsApp/Telegram bots, and end-to-end AI platforms. I work mainly with Python, Node.js/TypeScript, and Next.js, using the Anthropic and OpenAI APIs to turn ideas into deployed products.
Over the years, I’ve led engineering for AI-backed products in Nigeria and the UK—building ticketing platforms, hospital/operations systems, recruitment pipelines, lead generation workflows, and voice/CRM agents that can call, transcribe, and update data in real time. I’ve processed 600+ leads, submitted 160+ job applications, and driven ₦1M+ in live ticket sales while focusing on reliability, clean integrations, and measurable outcomes.
- 2 years' experience
- Joined November 2026
Industry experience
- Software & Internet
- Computers & Electronics
- Government
- Education
- Healthcare
- Real Estate & Construction
- Financial Services
- Media & Entertainment
- Professional Services
- Transportation & Logistics
- Retail
Work experience· 6 roles
Engineering lead for a Nigerian event ticketing platform. Built and shipped v1 in ~72 hours using Next.js 14, Supabase, Paystack, Resend, and Vercel, and owned engineering from launch. Delivered QR-coded tickets, staff scanning, organiser dashboards, and Paystack payout/settlement flows. Built an Anthropic-powered AI support agent (tool-assisted, allowlisted) to verify Paystack payments, automatically resolve “paid but no ticket” cases, and log complaints with reference codes to an admin support desk. Shipped affiliate program features, organiser-facing newsletter/moderation systems, and implemented authenticated cron-based background jobs for reconciliation, reminders, event completion, and admin digests.
Built a WhatsApp and Telegram AI business OS for an immigration/study-abroad consultancy to handle onboarding, service selection, document guidance, and payments with minimal human involvement. Processed 619 leads in two weeks and converted 18 paying clients in the first deployment phase, including a first paying client within 24 hours of launch. Added a CRM layer with lead profiles, staff assignment, and department-based visibility, and structured agent prompts to separate knowledge, personality, and rules. Implemented with Node.js, Anthropic Claude, Redis for session state, Supabase, Paystack, deployed on Railway with CI/CD.
Developed async lead generation pipelines in Python and Node.js to pull and enrich leads from multiple sources. Used LLMs to score leads and generate personalized outreach content across microservices. Integrated Gmail and Google Workspace APIs so follow-up sequences ran end-to-end with no manual work.
Education
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