I’m a Software Engineer focusing on Agentic AI — LLM tools, RAG, orchestration graphs, and AI‑in‑the‑loop workflows. I build full‑stack features with Node.js / TypeScript and pragmatic AWS architectures.
| Stats | Langs |
|---|---|
- Lunai — Agentic AI Chat App Stack: TypeScript, Node.js, GraphQL, prompts, client/server packages.
- open‑swap — Unified LLM router/proxy. Stack: TypeScript, provider adapters (OpenAI/Anthropic/Gemini/OpenRouter/local).
- chill‑mcp‑server — Claude MCP server for global
/quote,/highfive,/chill. Stack: TypeScript, shell tooling. - aws‑mock‑test — Mock‑test platform. Stack: React (FE), API Gateway + Lambda + DynamoDB + S3 (BE), IaC + CI.
// demo/generate-bio.ts
const model = new ChatOpenAI();
const prompt = ChatPromptTemplate.fromTemplate(`
[Task] Generate a concise bio (2–3 sentences) for Will.
<manifesto>
{manifesto}
</manifesto>
`);
const chain = prompt.pipe(model).pipe(new StringOutputParser());
const manifesto = `
(……)
`;
const bio = await chain.invoke({ manifesto });
/******** Response
*
* Will is a software engineer focused on **agentic AI** and **cloud‑first**, **typed** systems. He builds **RAG** pipelines and **LangGraph** orchestration with a bias toward observability and tests. He ships daily in **TypeScript/Node.js**,
* reaches for **.NET (C#)** when enterprise/runtime constraints demand it, and favors **API Gateway + Lambda + DynamoDB/S3** on AWS with OpenTelemetry/CloudWatch and CI.
* His rubric is simple: strong types, small interfaces, real telemetry, and security from day one.
********/- Open‑source Lunai minimal agent + context router
- Publish LangGraph templates (task routing, memory, tools)
- Evals + guardrails playbook for AI features
- Ship cloud-native exam prep platform
- Discussions: https://github.com/winoooops/winoooops/discussions
- Issues: https://github.com/winoooops/winoooops/issues/new
