Jordan
Gibson
I design and build agentic voice systems, workflow automations, and full-stack web applications that move data across systems.
I combine hands-on engineering with client-facing communication to turn business processes into reliable software.
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I am an AI and full-stack engineer focused on voice agents, workflow automation, and web applications.
My work spans Retell AI, n8n, OpenAI and Claude APIs, TypeScript, Python, C#, SQL, and modern cloud-connected systems.
Voice agents, safety gates, function calling, and evaluation workflows.
n8n workflows, APIs, webhooks, queues, and multi-system orchestration.
TypeScript, Next.js, React, databases, authentication, and cloud services.
Comfortable mapping processes and communicating with non-technical stakeholders.
Built websites and full-stack projects while developing AI agents and workflow automations.
Graduated from Miami University with coursework in AI, machine learning, web development, and software engineering.
Installed, calibrated, and serviced high-end residential audio and home-theater systems.
Validated and labeled AI and machine-learning training data for government contracts.
I help companies explore how AI can improve workflows and software without losing sight of safety, verification, and operational reliability.
I am especially interested in AI voice agents and the systems that connect them to business data and tools.
Built a live inbound claims agent with specialist routing, structural identity verification, emergency handling, audit logging, and transfer context.
Built a safety-gated healthcare voice agent with emergency screening, date-of-birth verification, callback routing, and multi-system synchronization.
Built an AI call screener with contact lookup, message classification, summaries, transcripts, and email delivery.
Built a portfolio builder and domain reseller with AI content generation, voice onboarding, hosted email, billing, and support automation.
Built a public NYC street-sweeping tracker combining official data, live capture, Redis caching, map visualization, and Python machine learning.
Let's explore where AI, automation, or full-stack engineering can help.
Latest Highlights
Fresh highlights from recent collaborations and launches, pulled straight from @ptfl.io on Instagram.
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Based in Brooklyn, New York.
I will respond as soon as possible.
