Daniel Gonzalez

AI Engineer & Founder, ArtemisAI

Daniel Gonzalez

I build autonomous AI systems.

I've been building autonomous AI systems since before most people knew what an agent was. These aren't prototypes — they're deployed, working systems used by developers across the globe. I design, build, and ship agentic AI that solves real problems: from multi-node autonomous pipelines to open-source MCP servers, RAG knowledge bases, and AI-powered learning platforms.

Experience

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Founder & AI Engineer

ArtemisAI · 2024Present

Sole proprietorship designing, building, and deploying agentic AI systems. Key accomplishments:

  • Built and published 3 open-source MCP servers (LiteLLM, n8n, Code Execution) used by the developer community
  • Designed LinkedAI's multi-node autonomous pipeline: job scraping, CV tailoring, profile management, and intelligent matching with A2A (Agent-to-Agent) orchestration
  • Shipped AgentOne — an AI-powered learning platform where agents teach users to build agents (Vue 3, MCP, RAG)
  • Architected event-driven multi-agent orchestration with 7 autonomous agent roles for self-healing software engineering
  • Built production RAG systems with domain-specific vector search (NatureOne)
  • Managed all infrastructure: Supabase, Docker, Vercel, Cloudflare, GitHub Actions CI/CD

Program Manager, MVA

Apollo Applied Research Inc · Jun 2022Present

Program management for Military and Veterans Affairs applied research programs, overseeing data systems, reporting pipelines, and multi-team coordination.

  • Introduced patient relational databases and process automations reducing reporting errors by 35%
  • Built dashboard analytics for real-time patient support metrics, giving leadership instant visibility into program outcomes
  • Streamlined reporting workflows across multiple research teams, cutting turnaround time on monthly reports by 40%
  • Designed and implemented structured data intake processes replacing fragmented spreadsheet-based tracking
  • Collaborated with cross-functional stakeholders to align data standards across program verticals

LLMs

ClaudeGPT-4GeminiMistralLlama

Agentic AI

MCP ServersMulti-agent OrchestrationA2A ProtocolCrewAILangGraphLangChainRAG SystemsAI Agent Design

AI Infrastructure

LiteLLMPrivate LLM DeploymentVector DatabasespgvectorOpenAI APIAnthropic APISupabasen8nDocker

Development

PythonTypeScriptJavaScriptVue 3ReactNext.jsAstroTailwind CSSPlaywrightPostgreSQL

Platforms

VercelGitHub ActionsCloudflareLinux

AI Dev Tools

Claude CodeGitHub CopilotCopilot StudioOpenClaw
Expert Advanced Intermediate

Projects

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Agents teach you to build agents.

Vue 3ViteAI AgentsMCPRAG
LinkedAIComing Soon

Autonomous agents working in the real world.

PlaywrightAI AgentsSupabaseA2A ProtocolCrewAIPostgreSQLPython
NatureOneIn Progress

RAG-powered knowledge retrieval.

RAGVector DBPython

Open-source MCP server for LiteLLM.

MCPLiteLLMPython

Secure sandboxed code execution for AI agents.

MCPDockerPython

AI agent control plane for n8n workflows.

MCPn8nTypeScript

Multi-agent orchestration in action.

CrewAILangGraphMulti-Agent

Open Source

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MCP server for LiteLLM proxy — lets AI agents manage models, API keys, and routing through a unified interface

n8n MCP Servermaintainer

Bridges AI agents to n8n workflow automation — create, manage, and trigger workflows from any MCP client

Secure sandboxed code execution for AI agents — run Python, JS, and shell commands safely

NatureOne Webmaintainer

RAG-powered natural medicine knowledge base with semantic search over a curated corpus using pgvector

dan-ai.promaintainer

Open-source terminal-style portfolio — Next.js 15, 13 themes, 21 commands, fuzzy matching, and an AI assistant persona (Link)

Education

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Certificate in Applied AI (SIA 3000)

Université de Montréal

In progressCapstone project: AgentOne — AI-powered learning platform

Certifications

OpenAI Evals Contributor

2021

OpenAIEarly contributor to OpenAI's evaluation framework for language models

PaLM Beta Tester

2022

GoogleSelected for Google's PaLM language model beta program

Midjourney Beta Tester

2022

MidjourneyEarly access beta tester for Midjourney's image generation platform

Be My Eyes Volunteer

Be My EyesAI-assisted visual aid volunteer helping blind and low-vision users

n8n Certified Automation Expert

2024

n8n GmbHDemonstrated advanced workflow automation and node development expertise on the n8n platform

DeepLearning.AI — Agentic AI & Multi-Agent Systems

2024

DeepLearning.AICompleted specialization covering agentic design patterns, tool use, reflection, and multi-agent orchestration with LangGraph and CrewAI

DeepLearning.AI — LangChain for LLM Application Development

2023

DeepLearning.AICompleted course covering LangChain chains, memory, agents, and RAG pipeline construction with OpenAI and open-source LLMs

Contact

Available for contracts, consulting, and full-time opportunities in agentic AI.

ENEnglishnative
FRFrenchnative
ESSpanishnative

AI Consulting & Navigation

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Not sure where AI fits in your work? I help people and businesses understand what AI agents can actually do — and guide them through the landscape. Which tools, which approach, what's realistic, what's hype. Consult first. Build if needed.

AI Strategy Consulting

Help businesses identify where AI agents and automation fit into their operations

Agentic AI Development

Design and build multi-agent systems, MCP servers, and autonomous pipelines

RAG & Knowledge Systems

Build domain-specific retrieval-augmented generation pipelines over your data

Workflow Automation

n8n workflows, CI/CD pipelines, and process automation for teams

AI Dev Tooling Setup

Set up Copilot Studio, Claude Code, MCP servers, and AI-augmented development workflows

Cloud & Infrastructure

Supabase, Docker, Vercel, Cloudflare — production-ready deployment for AI systems