
Software Engineer | I help developers build AI agents that actually work in production
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
cameron-expense-reporter
February 13, 2026 – Present
cameron-expense-reporter — repository
View Projectfullstack-langgraph-nextjs-agent
September 28, 2025 – Present
Production-ready Next.js template for building AI agents with LangGraph.js. Features MCP integration for dynamic tool loading, human-in-the-loop tool approval, persistent conversation memory with PostgreSQL, and real-time streaming responses. Built with TypeScript, React, Prisma, and Tailwind CSS.
View Projectlocal-agent-docker-model-runner
June 22, 2025 – June 22, 2025
A flexible, extensible AI agent backend built with NestJS—designed for running local, open-source LLMs (Llama, Gemma, Qwen, DeepSeek, etc.) via Docker Model Runner. Real-time streaming, Redis messaging, web search, and Postgres memory out of the box. No cloud APIs required!
View Projectagents-starter
June 22, 2025 – June 22, 2025
This repository contains multiple complete AI agent projects, each demonstrating different approaches to building AI-powered applications. Whether you're building conversational agents, automation tools, or intelligent assistants, you'll find practical examples and starter templates here.
View Projectinitializr
June 19, 2025 – June 19, 2025
Agent Initializr is a project that helps you scaffold scalable AI agent backends in JavaScript/TypeScript using NestJS and LangGraph. It generates a production-ready backend that you can use as-is or extend with your own core business logic.
View Projectagentailor-chat-ui
May 27, 2025 – August 17, 2025
A backend-agnostic chat UI built with Next.js and React that supports real-time messaging, thread management, and streaming responses.
View Projectmcp-demo
February 5, 2025 – February 9, 2025
Une démo avec node et TypeScript sur le fonctionnement du Model Context Protocol
View Projectollama-demo
November 26, 2024 – November 26, 2024
Démo d'utilisation d'ollama avec Spring Boot
View ProjectCultural Fit Analysis
The candidate's personal projects demonstrate a strong initiative and passion for building innovative applications, particularly in the AI domain. The diversity of projects, ranging from full-stack AI agents to chat UIs, indicates a proactive and curious mindset. However, the projects are heavily focused on AI/backend integration, which might not fully align with a pure frontend role without further validation of design and UX focus. The lack of traditional work experience or team projects makes it difficult to assess collaboration and cultural fit in a professional team setting.
Soft Skills & Operational Fit
The provided data does not contain information to assess soft skills or operational fit.