I’m Joel — an LLM Application Engineer who enjoys turning AI capabilities into real, usable systems.
My recent work focuses on agent workflows, tool-using LLM applications, workflow automation, and secure deployment patterns. I’m especially interested in how to make AI systems not only powerful, but also practical, auditable, and production-friendly.
- 🌱 Currently building around AI agents, MCP-style tool orchestration, and LLM workflows
- 🛠️ Interested in automation, developer tooling, and cloud-based AI systems
- 🛡️ Exploring how to make AI applications more secure, structured, and reliable
- 🤝 Open to collaborating on LLM application and AI engineering projects
A few small tools I’ve published while exploring agent scaffolding, MCP server development, and AI-assisted development workflows.
| Package | Ecosystem | Contribution Area | Purpose |
|---|---|---|---|
langgraph-forge |
PyPI | LangGraph agent scaffolding | A starter toolkit for setting up runnable LangGraph agent projects with common providers, patterns, and deployment options. |
mcp-forge-cli |
PyPI | MCP project generator | A CLI for bootstrapping structured MCP server projects without hand-creating the same project layout each time. |
mcp-forge-core |
PyPI | MCP server framework | A lightweight core layer for building MCP servers with cleaner interfaces and swappable provider implementations. |
@hey-echodev/cli |
npm | AI / developer workflow CLI | A terminal-first tool for keeping useful project context around AI-assisted development workflows. |
| Project | Recognition | What it does |
|---|---|---|
AI-Filing-System |
2025 Qualcomm Hackathon Champion | An AI-powered file organization system that analyzes and categorizes documents automatically. |



