What I am building right now
- Designing AI agent flows that solve clear business tasks
- Using n8n to automate handoffs across products and teams
- Learning how product, UX, and engineering decisions shape better automations
Junior software engineer building AI agents and workflow systems
I am a junior software engineer focused on AI agents and workflow automation with n8n. I like building systems that reduce repetitive work, connect disconnected tools, and turn fuzzy ideas into repeatable flows. My portfolio is intentionally part lab, part journal, and part proof that thoughtful automation can still feel human.
I am interested in freelance work, product experiments, and collaborations around AI workflows that solve a real problem.
Base: Open to remote collaboration
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Building useful AI systems with a product mindset and a bias toward clear automation.
I am based around practical systems thinking: fewer repeated tasks, better decisions, and workflows that can survive real use.
I design practical automation experiences that move from idea to useful workflow quickly.
Building AI-agent experiments and learning how to turn automation into a strong product skill.
Clarity, reliable workflows, and interfaces that make automation feel understandable rather than magical.
A portfolio, a blog, and a public record of how I think through systems and implementation.
An internal dashboard concept for tracking AI agent tasks, outcomes, and failure patterns.
Problem: Teams experimenting with agents often lack visibility into what the automations are actually doing and where they fail.
Solution: I designed a simple operations view that surfaces task status, retry paths, and notes so operators can improve prompts and workflows faster.
A lightweight automation pipeline that routes inbound leads into structured follow-up workflows.
Problem: Lead data often lands in multiple tools with no clean qualification path or response rhythm.
Solution: I mapped the handoff, normalized incoming fields, and routed qualified leads into automated sequences for faster follow-up.
A short note on why useful automation should feel clear, measurable, and grounded in a real workflow.
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