AI Automation Specialist

I designed and deployed an automated content production pipeline that turns project documentation into polished LinkedIn and Twitter/X posts with a human approval step. The live system supports file-triggered workflows, content generation, review, and scheduled publishing.

I implemented Google Drive webhook triggers with watch-renewal and notification-deduplication logic. I connected research and platform-specific writing agents through AgentRouter, added Gemini Vision analysis, built a Telegram approval interface, and integrated Buffer GraphQL and Supabase for scheduling, persistence, and post continuity.

I built a production-ready AI voice concierge for a restaurant client as part of the TSAcademy capstone project. The system automated customer call handling, order processing, reservation capture, frequently asked questions, and escalation routing.

I architected workflows using Vapi, Twilio, n8n, Airtable, webhooks, and JSON-based data extraction. I also iterated on system prompts to prevent re-greeting loops, control response length, and improve transcription reliability across customer interactions.

I am building a real-time sports match monitoring system for a paying client. The platform aggregates live odds and event data into a structured Airtable dashboard for operational visibility.

I integrated The Odds API and API-Football through n8n workflows and designed deduplication logic to prevent repeated alerts from overlapping sources. The system delivers clean, actionable notifications while maintaining structured match records.

I designed an n8n-powered membership operations system to replace manual gym administration with automated, triggered workflows. The system supports structured handling of onboarding, renewals, reminders, and operational follow-up.

I created conditional workflow routes for membership tiers, payment states, and escalation scenarios. The solution uses Airtable, webhooks, API integration, and workflow logic to improve consistency in membership management.

I designed and deployed a full-stack relocation intelligence platform that helps users identify suitable cities and countries based on personality profiles, lifestyle preferences, and data-driven scoring.

I built the preference-intake and profiling system, developed the React frontend, implemented Node.js and TypeScript backend services, and configured Supabase with row-level security policies. The product is deployed on Railway and uses REST APIs for system integration.

I research AI-assisted development environments, automation platforms, and orchestration approaches for scalable workflow applications. My work focuses on multi-agent coordination, automation reliability, and AI-enhanced software delivery.

I evaluate GitHub-integrated tooling, AI coding environments, prompt engineering techniques, and LLM APIs. I also perform troubleshooting and optimization for API-connected workflows and AI-assisted development systems.

I served as one of three co-leads for a 25-member cross-functional team delivering an integrated AI-powered business concierge system for a live restaurant client. I coordinated work across Voice AI, Knowledge Base, n8n Automation, Airtable Logging, and QA/Integration teams.

I tracked milestone progress, facilitated coordination meetings, escalated delivery blockers, and enforced integration-contract discipline. The completed solution connected a Vapi voice system with n8n workflows and Airtable logging to support automated restaurant call handling.

I serve as Vice Principal while acting as an internal automation and digital transformation lead. I designed and deployed digital workflow systems that reduced administrative overhead by 75%.

I translate operational requirements into structured processes and manage accountability frameworks for more than 30 staff members. These initiatives contributed to a 60% performance improvement within six months.

I was elected CDS President and coordinated a 23-member team across community development initiatives. I led planning, execution, resource allocation, and stakeholder coordination in a resource-constrained environment.

The role strengthened my practical experience in decentralized leadership, project delivery, team coordination, and operational governance throughout the service year.

I built structured interpretation workflows for seismic, well-log, and logging-while-drilling datasets across active OML40 and Ologbo flow-station environments. I used Petrel and Hampson Russell to support data analysis activities.

I worked within a live gas-processing environment and maintained strict HSE compliance and operational safety standards. This internship reinforced my analytical approach to complex technical systems and data interpretation.

Graduated with a Bachelor of Science in Industrial Physics, specializing in Applied Geophysics.