Selected work · 2026

Justin Erwin

AI systems designer turning operational chaos into systems that run themselves — messy, disorganized data refined into clean, prioritized insights, predictive models, and automated workflows that act on them.

  • Predictive analytics
  • Workflow automation
  • Human-in-the-loop
  • Web design
AI Systems DesignerLas Vegas · RemoteOpen for new projects
The work
  1. 01

    Reztrix

    Frontline operations intelligence

    AI decision-support · evals · human-in-the-loop

  2. 02

    Contract Change Management Prototype

    Facilities/services contract scope change workflow

    Unpaid initial-review · Smartsheet-first · traceability

  3. 03

    TeeTimeBuddy

    Golf trip planning for crews

    Availability · voting · expense splitting · settlement

  4. 04

    Spatial Limen

    Structural inference engine

    Evidence-grounded discovery · provenance

  5. 05

    Local Business Website

    Conversion site for a Las Vegas service business

    Quote form · pricing tiers · FAQ · trust signals

  6. 06

    ACATS Review Workbench

    Regulated transfer review

    Deadline state · audit trail · reviewer-owned

  7. 07

    BurgReport

    Fine wine pricing intelligence

    Live market data · sub-three-second benchmarks

About

Operator first. Builder by necessity.

I spent 18 years in large-scale hospitality operations across multiple Las Vegas properties, most recently as Executive Director with full P&L responsibility for a $200M+ business.

Then I moved into product to build the tools I always wished existed on the floor. Today I design AI systems for complex workflows, real operational constraints, and measurable business outcomes.

$200M+
P&L responsibility
18
years enterprise ops
MBA + 4
AI/cloud credentials
  • Grounded in reality

    Built around the constraints the floor actually operates under — not whiteboard ideals.

  • Measured, not assumed

    Evaluated against real scenarios so quality is provable, not promised.

  • Safe to act on

    Human-in-the-loop where the cost of error is high, automated where it isn't.

Method

A loop, not a launch.

I don't ship in a straight line. Every build runs the same cycle — research-heavy, grounded in what's actually shippable today, measured against a clear bar, and reviewed hard before a go/iterate/kill call. Then it runs again.

010203040506
01Ideatego · iterate · kill

Research never stops. It runs through every stage, not just the first.

Eighteen years running a $200M+ operation taught me what tools the floor actually needs. Now I build them.

Education & credentials
  • MBA, Kelley School of Business
  • Stanford GenAI
  • AWS Certified AI Practitioner
  • AWS Certified Cloud Practitioner
  • PSPO I