I'm a software engineer who likes building things that start as a rough idea and end up as tools people actually reach for. Right now that means going deep on agentic AI — multi-agent orchestration, tool-calling LLMs, and the messy engineering that sits underneath "the AI just works."
- 🔭 Currently building a Multi-Agent System for autonomous task orchestration
- 🌱 Learning the internals of agentic workflows, planning loops, and LLM tool-use
- 🛠️ Comfortable across the stack — Python & FastAPI on the backend, React/Next.js on the front
- 💬 Always up for a conversation about AI systems, clean architecture, or good developer tooling
- ⚡ Fun fact: I'd rather refactor a working system than leave it "good enough"
A few projects I'm proud of — swap these in with your own repos, descriptions, and live links.
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A framework for coordinating multiple LLM-driven agents on complex, multi-step tasks — planning, delegation, and tool use in one pipeline. Python · LLMs · FastAPI
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Short description of what it does and why it matters — one or two sentences is plenty. Stack · Stack · Stack
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💡 "Building software that people can use, improving software that everyone can use."