Chinely N

AI Operations & Integration Engineer

Operational Software

Apr 2026 - Present • 3 mos

As an AI Operations Engineer, I focus on the practical deployment of LLMs into existing business workflows. My work centers on building systems that utilize AI for complex tasks—such as content generation, customer support, and data analysis—while maintaining strict budget controls and quality standards. Orchestration: Built scalable AI agent frameworks that leverage LLMs to perform autonomous, multi-step business logic. Cost Management: Engineered cost-tracking and token-usage monitoring systems to ensure profitable AI operations. Human-in-the-Loop (HITL): Designed hybrid workflows where AI handles the heavy lifting but requires critical human validation before final execution, ensuring 100% brand safety. Scaling: Optimized API consumption through batch processing and queue management to handle high-volume demands without hitting rate limits.

Automation & Systems Specialist

Automation Solutions • Freiberufler

Jan 2026 - Present • 6 mos

I help high-growth businesses stop wasting time on manual work. I design, build, and maintain automation systems that scale. My approach is to treat every workflow as a piece of "Digital Infrastructure." I specialize in n8n, Make, and Zapier to connect the tech stack, integrate AI, and sync data across platforms—allowing business owners to focus on strategy instead of administration. I have successfully architected systems for CRM management, AI-driven content generation, and multi-step booking pipelines.

Data Architecture & Reporting Specialist

AnalystPrep • Selbstständig

May 2025 - Oct 2025 • 5 mos

I specialize in the "plumbing" of business data. I bridge the gap between fragmented raw data and actionable business intelligence by architecting automated pipelines that aggregate, sanitize, and visualize information in real-time. Pipeline Engineering: Architected automated workflows to sync data between disparate systems (CRMs, ERPs, and Cloud Sheets) with 99.9% uptime. Custom Scripting: Implemented advanced JavaScript/Python snippets within automation platforms to handle complex data manipulation that standard modules could not perform. Error Resiliency: Designed "self-healing" workflows that include automated retries, error logging, and Slack-based alerts for immediate troubleshooting. Outcome: Eliminated manual reporting delays, providing leadership with a "single source of truth" that directly influenced strategic decision-making.