01.
AI Agent Systems
A portfolio case imported from Notion. Details are being shaped into a publishable project story.
Private or internal work
profile context
I build AI automation systems that connect messy business processes with practical tooling: agents, n8n workflows, GPT pipelines, databases, APIs, scraping, and low-code interfaces.
The site is intentionally built as proof of work: real portfolio data comes from Notion, then ships as a static Astro site with a controlled build pipeline.
My strongest work sits where automation, business context, and implementation discipline meet. The goal is not to “add AI”, but to remove friction from repeatable work.
For clients, this means clearer workflows. For recruiters, it shows how I reason about systems before I ship them.
selected work
01.
A portfolio case imported from Notion. Details are being shaped into a publishable project story.
Private or internal work
02.
Creating a lead generation system to attract cold leads
Private or internal work
03.
Automation with a final text assignment for a graphic designer
Public proof available
04.
The application was created using the low-code service FlutterFlow. The task was to create an application based on a layout developed by the marketing department.
Public proof available
paid consultations
01.
$59
A prepared 3-hour breakdown for teams that want to understand where AI can actually fit into their workflows.
02.
$25
A focused session for automation builders who need direction on starting, selling, or shaping workflows.
working method
Map the workflow, data sources, constraints, and where AI is actually useful.
Choose the smallest system that can produce reliable leverage without fake complexity.
Connect tools, APIs, prompts, databases, and interfaces into a repeatable flow.
Document failure modes, handoff points, and the next improvement loop.