Automations & Workflow Specialist
In my background maintaining complex mechanical systems on international vessels, a single oversight didn't just mean a broken process—it meant critical equipment failure. That high-pressure environment ingrained a hyper-precise, zero-failure discipline in me. Today, I apply that exact same engineering standard to building bulletproof digital automation pipelines for modern businesses.
I don't just connect two apps and hope they work. I build systems with proactive error-handling, edge-case mapping, and data protection built in.
Core Technical Expertise:
Workflow Architecture: Advanced n8n pipeline design, custom logic routing, and Universal Error Notification failsafes.
AI & Data Systems: RAG (Retrieval-Augmented Generation) pipelines, Vector Databases (Pinecone), and LLM Integrations (Claude, Gemini, OpenAI).
API Integration: Complex routing between Notion, Google Workspace, Meta Graph API,
You don't have to guess if I have the technical skills. Visit my portfolio link above to interact directly with the live RAG AI Assistant I built to answer your questions. Let's build systems that don't break.
Experience: Less than 6 months
I eliminate manual data entry by engineering automated data pipelines. Using n8n, I build workflows that instantly extract, format, and route incoming administrative data (such as web forms or emails) directly into CRMs and databases like Notion or Google Workspace, ensuring absolute accuracy and zero manual handling.
Experience: Less than 6 months
Engineered complex API integrations and automated data pipelines using n8n. Successfully connected and routed data between REST APIs, including the Meta Graph API and Google Workspace, utilizing webhooks and strict error-handling protocols to ensure zero-failure data synchronization.
Experience: Less than 6 months
Engineered and deployed a live Retrieval-Augmented Generation (RAG) AI assistant from the ground up. I specialize in integrating Large Language Models (LLMs) with Pinecone vector databases and n8n architecture to build autonomous, zero-hallucination agents capable of instantly processing complex proprietary data.
Experience: Less than 6 months
I design and deploy autonomous, LLM-powered AI agents rather than basic rule-based chatbots. As demonstrated in my live portfolio, I specialize in building Retrieval-Augmented Generation (RAG) systems that can access proprietary databases (like Pinecone) to answer complex customer inquiries accurately, autonomously, and without hallucination.
“It definitely helped transform my business and take a significant load off for me.”
Samori Coles
SEE MORE REAL RESULTS“They're not only loyal and hardworking, they're super detail oriented!”
- Travis OVAAnswers
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