Marcus Hansen

AI Engineer & Full Stack Developer

I build production AI systems: multi agent LLM workflows, RAG pipelines, and cloud infrastructure on AWS. Self taught, AWS Certified AI Practitioner, and currently Cofounder & Lead AI Engineer at Admin Ambassadors. Open to full time engineering roles.

Download Resume

Experience

Cofounder & Lead AI Engineer

Admin Ambassadors

January 2026 to Present

Cofounded an AI consulting firm that builds AI automations with a human first perspective for paying clients. Lead all AI engineering: run discovery with clients, identify high value automation opportunities, and translate business needs into shipped AI solutions.

  • Delivered a paid enterprise engagement: a daily clone of a production database into AWS RDS with a governed, read only Bedrock + MCP AI query layer that lets nontechnical staff query live business data in plain language
  • Assess client data, system dependencies, and constraints affecting AI adoption in enterprise and ERP environments
  • Python, AWS (Lambda, RDS, Bedrock), Terraform, OAuth 2.1, pgvector semantic search

Full Stack Developer

BS&Co

January 2026 to May 2026

Built AI powered automation workflows and full stack web applications in a production environment, working cross functionally with marketing, operations, and leadership.

  • Architected and shipped Auto Brief, a three agent AI system coordinating multiple LLM calls with structured prompts and classification logic
  • Built the Campaign Calendar tool: integrates three data sources, queries Postgres, analyzes performance data, and generates monthly schedules automatically
  • Built RAG pipelines with embeddings and vector search for accurate knowledge retrieval from proprietary data
  • Designed REST APIs connecting AI systems to enterprise services and external platforms

PT Aide & ER Secretary

Sanford Health, Bemidji

2022 to 2024

Managed data and communication systems in a high volume clinical setting, building operational discipline, process awareness, and healthcare workflow understanding.

Featured Projects

Production systems built for real clients and real users, not tutorials

Production Data + AI Platform

Enterprise AI Infrastructure · Paid Client Engagement

Daily one way clone of a production Postgres database into a private AWS RDS instance, topped with a governed, read only AI query layer built on AWS Bedrock and MCP. Nontechnical staff query live business data in plain English. Includes an MCP gateway with OAuth 2.1 and Dynamic Client Registration, IAM authenticated replication Lambdas, CloudWatch alarms, and cross region replication.

PythonTerraformAWS LambdaAWS RDSAWS BedrockMCPOAuth 2.1pgvector

Private client repository · code walkthrough available on request

QR Lab Time Tracker

Shop Floor Time Tracking · Paid Client Engagement

Every task at the client's lab workstations gets its own QR sticker. Workers scan it, tap their name, and clock in or out. Task level time data lands in Postgres and feeds the same production data platform as the rest of the client's systems. In daily use on the floor.

Next.jsReactTypeScriptSupabasePostgresVercel

Private client repository · code walkthrough available on request

Auto Brief

Three Agent AI System in Daily Production

Multi agent architecture where three independent AI agents, a PM, a Writer, and a Validator, coordinate through structured prompts to produce validated marketing email copy with built in quality checks, then write results back to AWS RDS. Runs in production daily.

TypeScriptClaude APIMulti Agent ArchitectureAWS RDSStructured Prompting
View on GitHub

Campaign Calendar

Automated Marketing Data Pipeline

Pulls from three APIs in parallel, queries Postgres, analyzes a year of campaign performance data, and generates optimized monthly marketing schedules. Built at BS&Co and running in production daily.

ReactPythonPostgreSQLAWSREST APIsData Analysis
View on GitHub

Essentials 360

Headless Ecommerce Storefront

Headless storefront with a full checkout flow, PCI compliant payment processing via Authorize.net, OrderLogix order management integration, and subscription support. Deployed on AWS EC2 with Nginx, PM2, and SSL.

Next.js 14TypeScriptTailwind CSSZustandAuthorize.netAWS EC2

Skills & Credentials

The stack I ship with every day

AI & LLM Engineering

Claude API (Anthropic)AWS BedrockMulti Agent ArchitecturesRAG & Vector SearchPrompt EngineeringMCP Servers

Languages & Frameworks

PythonTypeScriptJavaScriptReactNext.jsHTML/CSS

Backend & Data

REST API DesignPostgreSQLData PipelinesOAuth 2.0 / 2.1Webhookspgvector

Cloud & DevOps

AWS LambdaAWS RDSTerraformDockerCI/CDGit & GitHub

Certifications

  • AWS Certified AI Practitioner

    Amazon Web Services · 2026

  • Claude Code in Action

    Anthropic · 2026

Education

Bachelor of Science, Exercise Science

Bemidji State University · 2024

NCAA Division II FootballNSIC Defensive Player of the YearAP All American Selection

My Journey

Marcus Hansen hiking along the California coast

Walk On to All American

Started as a walk on at Bemidji State University and worked my way to becoming the 2023 NSIC Defensive Player of the Year and a two time AP All American. This journey taught me that dedication and persistence can overcome any obstacle.

Finding My Voice

After being dismissed from a university for my sexual orientation, I found an inclusive home at Minnesota State Mankato, where I could be both an athlete and my authentic self. Overcoming this adversity taught me resilience and perseverance, qualities I bring to every project.

Read my story in the Star Tribune

From Field to Code

Applied the same discipline from athletics to teach myself software development, going from nothing to shipping production AI systems in months. Today I help lead an AI consulting firm and build multi agent LLM systems, data pipelines, and cloud infrastructure for paying clients. I don't wait for things to be perfectly defined: I build, learn from the results, and iterate.

Let's Talk

Hiring for an AI engineering, software engineering, or technical role? I'd love to hear about it.