I'm building agent-native tools — practical systems that help LLM agents work with real workflows, repositories, knowledge bases, and developer environments.

I'm especially interested in:

• AI agents that improve over time through real usage
• Developer tools for coding agents and technical workflows
• Personal knowledge systems powered by reusable agent skills
• Lightweight automation that turns messy human work into structured, repeatable processes

I'm currently looking for a remote internship, contract, or junior engineering role in AI agents, LLM applications, developer tools, or workflow automation.

I care less about one-off AI demos and more about systems that make agents actually useful.

My current focus areas:

• Agent workflows — turning vague user intent into structured actions
• Developer-facing AI tools — agents that understand projects, repos, diffs, docs, and contribution history
• Reusable skills — packaging agent behavior into portable, maintainable units
• Knowledge management — helping people capture, retrieve, and grow personal knowledge with agents
• Context engineering — giving models the right information at the right time

A resume agent that helps your resume grow from your GitHub projects and contribution history.

🔗 https://github.com/dethan3/Delta-CV

Delta-CV explores a simple idea:

Your resume should not be a static document you rewrite from scratch.
It should grow from the actual work you do — projects, commits, repositories, contribution records, and technical artifacts.

The goal is to build an agent that can:

• Analyze GitHub projects and contribution history
• Extract meaningful technical achievements from real work
• Help turn unfinished or scattered projects into resume-ready descriptions
• Suggest stronger positioning for AI / developer tools / automation roles
• Keep a developer resume continuously updated as new work is created

This project is still a work in progress, but it reflects the kind of AI product I want to build:
agents that help people translate real work into structured, useful outcomes.

Why it matters:
Many builders have valuable work hidden across GitHub, notes, experiments, and half-finished projects. Delta-CV is an attempt to make that work visible and useful.

A personal knowledge management skill for agent-based workflows.

🔗 https://github.com/dethan3/openclaw-nutty

openclaw-nutty is an experiment in building a reusable personal knowledge management skill for AI agents.

The idea is to help an agent work with a user's knowledge base in a structured way:

• Capture notes, ideas, and useful fragments
• Organize personal knowledge into retrievable units
• Support memory-like workflows without relying only on chat history
• Make knowledge management more agent-friendly
• Explore how Skill-style abstractions can become reusable building blocks for AI systems

This project is also early, but it represents a direction I care deeply about:
turning personal knowledge into something agents can actually use, maintain, and build on.

Why it matters:
As agents become more capable, the bottleneck becomes less about model intelligence and more about how we structure context, memory, tools, and reusable workflows around them.

I’m interested in the layer between LLMs and real user workflows.

That includes:

• Agent skills
• Tool use
• CLI workflows
• Knowledge base interaction
• Personal productivity agents
• Developer automation
• Context and memory systems

I like building small, practical tools that help answer questions like:

• How can agents understand what a developer has actually built?
• How can unfinished work be turned into useful artifacts?
• How can personal knowledge become usable context for agents?
• How can agent behavior be packaged, reused, and improved over time?
• How do we move from AI chat to AI systems that actually do work?

I'm currently looking for opportunities where I can contribute to practical AI systems.

Best-fit roles:

• AI Agent Engineer
• LLM Application Engineer
• AI Developer Tools Engineer
• Product Engineer, AI
• AI Automation Engineer
• Forward Deployed Engineer
• AI Solutions Engineer
• Developer Tools Engineer
• Technical Support Engineer, AI

I'm open to (Remote preferred):

• Contract projects
• Part-time engineering work
• Junior roles
• Open-source contribution-based opportunities
• Trial projects with early-stage AI startups

Compensation is flexible at this stage.
I care more about working with a strong AI team, learning quickly, and contributing to real products.

• GitHub: https://github.com/dethan3
• X: https://x.com/0x99Ethan3
• Email: iimsyw@gmail.com

I’m still early in my journey, and many of my projects are experiments or works in progress.

But I’m serious about one thing:

I want to build useful agent systems — not just prompts, demos, or wrappers.

If you're building in AI agents, developer tools, knowledge systems, or workflow automation, feel free to reach out.