I build intelligent automation systems that transform how businesses operate — from RAG knowledge engines and voice AI agents to end-to-end CRM pipelines. 4+ years turning operational complexity into seamless, scalable workflows.
I'm a Customer Operations Professional turned AI Automation Architect with 4+ years of experience spanning customer success, vendor management, strategic partnerships, and enterprise operations.
My career began on the front lines of customer success — leading support teams, driving revenue, and building client relationships at scale. That grounding in operations gave me a firsthand understanding of where human effort is wasted on repetitive, automatable work.
At Equinix Nigeria, I managed 40+ enterprise vendor relationships, drove $200K+ in cost savings, and recovered credits through meticulous compliance management. At AmeriCare, I built healthcare partnerships that grew revenue by 15%. Along the way, I became obsessed with a question: what if the work could run itself?
That question led me to AI. Today at Credulen, I design intelligent automation systems — RAG knowledge engines, voice AI agents, GPT-powered CRM pipelines, and conversational assistants — that do the work of entire teams, around the clock, without error.
I combine deep operational intuition with AI engineering capability. I don't just build automations — I build solutions that understand the business problem behind them.
4+ years across customer success, enterprise vendor management, strategic partnerships, and AI automation.
End-to-end intelligent automation solutions designed and deployed across real-world business environments.
HR teams spending hours manually reviewing resumes, inconsistent candidate scoring, and slow pipelines causing talent loss to faster-moving competitors.
Built an end-to-end automated pipeline triggered by Google Drive file uploads. Resumes are downloaded, converted to PDF, text extracted, then passed through an AI Resume Analyzer (OpenAI Chat Model + Structured Output Parser). Qualified candidates are auto-created in ClickUp with timezone data enriched from location.
Teams losing time to manual scheduling, siloed knowledge, and context-free AI responses that couldn't learn or remember user interactions.
Deployed an AI Agent powered by Google Gemini with persistent memory (Simple Memory), Pinecone Vector Store for RAG retrieval, and full Google Calendar integration — creating, reading, and deleting events on command. Conversations are logged to Google Sheets for audit and retraining.
24/7 support coverage impossible with human-only teams, leading to poor CSAT during off-hours and agent burnout during peak periods.
Built a multi-channel AI customer support agent handling live chat inquiries with LLM-powered responses, intelligent escalation logic, and full CRM integration — available around the clock without human intervention.
High inbound call volumes for appointment booking and routine support creating agent bottlenecks and increasing operational costs.
Designed intelligent voice AI assistants using STT/TTS pipelines capable of natural conversation, appointment booking, FAQ resolution, and seamless escalation with full call transcription and automatic CRM logging.
How the systems connect — from data ingestion to intelligent output across platforms.
Ready to automate your operations, reduce costs, and scale with AI? Let's talk.