AI & Automation Engineer

I build AI agents and automations that kill manual work.

Lucas Ruiz is an AI and automation engineer who builds software that removes manual work from data-heavy industrial projects. He works as a data specialist on large-scale industrial commissioning, and he co-authored a peer-reviewed paper on a YOLO-based PPE monitoring system, published in the Proceedings of the Computer Vision Conference (CVC) 2026. Field engineer who builds, builder who has worked the field.

Salt Lake City, UTEnglish & Spanish
See my projects
Who I am

I build AI agents and automations that remove manual work from data-heavy industrial projects. Right now I work as a data specialist on large-scale industrial commissioning, managing 10,000+ equipment and instrument records. The job is full of repetitive, high-stakes data work: pulling records, validating them, formatting reports, signing off readiness packages. So I automate it.

What makes the combination uncommon is the bridge. I have spent years on real industrial and commissioning sites across the U.S., Canada, Indonesia, and Peru, reading P&IDs, QC-ing equipment packages, owning the data nobody else wants to touch. I also build software. Most people in industrial data ops do not build, and most people who build have never seen a field. I do both, which means the automations I write actually fit how the work happens.

Currently

  • Large-scale industrial commissioning
  • 10,000+ equipment records
  • Triathlon Worlds 2026
Experience

Where I've worked

  1. CMS / PIMS Data Specialist

    Oct 2025 — Present

    Commissioning contractor · Industrial commissioning · Indonesia

    Engineering data management on a large-scale industrial commissioning project: validated and uploaded 10,000+ equipment records into PIMS, and built Python & Playwright automations to replace manual data collection.

  2. Project Engineer — Cloud Application Development

    Jan 2024 — Dec 2024

    Commissioning contractor · Salt Lake City, UT

    Led end-to-end development of a cloud-based internal app with Power Apps, Power Automate, and Azure SQL — selected after evaluating low-code platforms, schema designed in Vertabelo.

  3. Project Engineer

    Jul 2023 — Jul 2024

    Gold mining project · Canada

    Produced and QC'd equipment work packages for mining instrumentation, verifying accuracy against P&IDs and scope-of-work documents, and built Excel/Word templates to standardize the workflow.

  4. Engineering Intern

    Dec 2022 — Dec 2023

    Copper mining project · Utah

    Assembled and QC'd checklist packages for mining equipment commissioning, coordinating with the team to meet client delivery deadlines.

B.S. Software Engineering

Universidad Peruana de Ciencias Aplicadas (UPC) · Lima, Peru

2021 — 2025
Research

Published research

Academic work from my time at UPC, published and peer-reviewed.

Cover of Proceedings of the Computer Vision Conference (CVC) 2026, Volume 3
Conference paper

Mobile Application Utilizing YOLO for Analysis and Monitoring of PPE Usage in a Manufacturing Plant in Lima

Lucas Ruiz, Oliver Tuesta, Abel Rosales

Proceedings of the Computer Vision Conference (CVC) 2026, Volume 3 · pp. 38-53 · 03 June 2026

A mobile application using computer vision (YOLO) to analyze and monitor whether workers on a manufacturing floor are wearing their required personal protective equipment (PPE). The result of roughly a year of R&D and real-plant testing in Lima, Peru.

Read moreView on Springer
What I know

Tools & skills

AI & Agents

  • Claude
  • Claude Agent SDK
  • LLMs
  • AI Agents
  • Prompt Engineering
  • RAG

Automation & Scripting

  • Python
  • Playwright
  • Web Scraping
  • Power Query M
  • Power Automate
  • Power Apps
  • Power FX

Data & Platforms

  • PIMS (omega 365)
  • Azure SQL
  • PostgreSQL
  • Supabase
  • ETL
  • Data Validation

Web & Tooling

  • Next.js
  • TypeScript
  • Plaid
  • Git / GitHub
  • Vercel
  • SharePoint

Fluent in English & Spanish — effective across time zones and cultures.

Selected work

Featured builds

The flagship and three more that prove the niche: software that takes manual, high-stakes data work off people's hands. The rest of the shelf is one click away.

1,000+hours saved

Industrial commissioning automation

Flagship

Large industrial project · field case study

A body of automations that turned the commissioning paperwork into software.

On a large minerals-processing expansion, my day was repetitive, high-stakes data work across ~1,300+ subsystems and ~14,000 tags. I built a toolkit of 13 automations plus an AI assistant that runs them. The flagship cut energization-document work from up to ~6 hours/day to under an hour. Projected to remove 1,000+ hours over the project (estimate).

See how it works
6 agents · 1 operator · always on

Quorum

Agent company OS

A company of AI agents, run by one person.

An always-on OS where AI agents work as employees. An orchestrator dispatches the work, agents build in parallel inside isolated git worktrees, and a live pipeline board shows the one thing that actually needs me. Two-way Telegram control, one shared memory. My own system, and it ships real software.

See how it works
listening…

Otto

Personal AI assistant OS

A voice-first assistant that runs my own work automations.

A local AI assistant built on the Claude Agent SDK with a voice-driven HUD and multi-agent orchestration. Speak a command, watch an automation run: PIMS pulls, report generation, RFCC sign-offs. It is also the assistant that helped build the rest of this site.

See how it works

Financial Dashboard

finance.qori.land

A production data pipeline with an AI layer on real money.

Plaid pulls real transactions from multiple banks, Claude analyzes spending, and Supabase stores everything behind row-level security. A real, secure, multi-user data product with AI on top, not a toy demo.

Try it liveGitHub
See all projects
Beyond work

What I do when I'm not building

The same approach I bring to work: structured preparation, resilience under pressure, and a drive to keep improving.

Triathlon

Qualified for the Age Group World Triathlon Championship 2026 in Spain. Regional race wins in Peru.

Endurance

Half Ironman and a full marathon — structured preparation and resilience under pressure.

Enduro MTB

Competitive enduro mountain biking when the terrain allows.

Snowboarding

Off-season on the mountain. Still chasing the same drive to improve.

Paracas triathlon, race day
Paracas triathlon, race day
Paracas triathlon, race day
Paracas triathlon, race day