AI and data systems, built to ship.

I'm Harrison Smith, a contract AI and data engineer. I scope, build, and ship production systems for businesses, not demos.

  • Retrieval-augmented generation
  • Multi-agent orchestration
  • BigQuery and ETL
  • PostgreSQL and pgvector
  • Ollama and local LLMs
  • Evaluation harnesses
  • FastAPI
  • GitHub Actions CI/CD
  • LoRA fine-tuning

About

I spent a decade writing production software. Now I build the AI and data systems that keep businesses running on it.

I'm Harrison Smith, an independent AI and data engineer based in Ogden, Utah, operating under HSmithDev LLC. My background is classic software engineering: backend services, SQL systems, CI/CD pipelines. The last several years, I've rebuilt that foundation around AI, with RAG pipelines, multi-model orchestration across Claude, Gemini, and ChatGPT, local LLM hosting, and the data engineering that makes any of it trustworthy.

Day to day, I'm the Business Intelligence Analyst at BlytzPay, a Series A payments company, where I build the BigQuery models and dashboards Finance and Risk run on, and own the evaluation framework for their production AI agent. I bring that same production discipline to client work.

My M.S. in Applied AI pushed me deep into the parts a bootcamp skips: model training and evaluation, ETL design, and the statistics behind knowing whether a model actually works. I build with Claude Code as a first-class part of my workflow, to move faster through engineering, not skip it.

10+ years of combined technical experience
More projects and source on GitHub
2026

M.S., Applied Artificial Intelligence

Neumont University. Model training and evaluation, RAG architecture, ETL and data sanitization.

2022

B.S., Computer Science

Weber State University. Graduate-level data science coursework as an undergraduate.

What I build for your business.

Three ways I plug into a team that needs an engineer, not another meeting.

How an engagement runs

AI feature development

RAG & orchestration

I design and ship retrieval pipelines, multi-model orchestration, and agentic tool-use systems, then build the evaluation harness that proves they work before your users find out otherwise.

  • RAG architecture and hybrid retrieval
  • Multi-model orchestration (Claude, Gemini, OpenAI)
  • Agent evaluation and human-in-the-loop review
  • Local LLM hosting (Ollama, KoboldCpp)

Currently own the evaluation framework behind BlytzPay's production AI agent.

Data engineering and BI

ETL & BigQuery

I build the ETL pipelines and BigQuery data models underneath the dashboards your finance, risk, and product teams actually trust, then document every join so the next engineer trusts it too.

  • BigQuery data modeling
  • ETL pipeline design
  • SQL (T-SQL, MySQL, PostgreSQL)
  • Data validation and reconciliation

Validated roughly 150 table relationships in a production BigQuery data lake, now restructuring it into a medallion architecture.

Full-stack and backend contracting

APIs & CI/CD

Backend services, REST APIs, and GitHub Actions pipelines, scoped and shipped end to end. I own reliability for clients who don't have a platform team behind them.

  • REST API design
  • GitHub Actions CI/CD
  • Google Cloud and Microsoft Azure
  • PostgreSQL and MongoDB

Ongoing backend and SQL systems work for Common Thread's clients since 2024.

RAG quality is a data quality problem.

Orchestration can't compensate for a bad chunking strategy, and a well-trained model is worthless if the interface buries the answer. I learned that building Lorekeeper, my open-source RAG project, end to end, and it shapes how I scope every AI engagement since.

How an engagement runs.

  1. Scope

    We start from your actual requirements, not a generic discovery deck. I scope the system, flag the risks, and give you a fixed plan before any code gets written.

  2. Build

    I build in the open: working increments, real commits, and Claude Code as a first-class part of the workflow, not a replacement for engineering judgment.

  3. Ship

    Production means production: CI/CD, monitoring, and documentation, not a demo that only works on my laptop.

  4. Support

    I stay reachable after launch. Most engagements include a support window, so the handoff is never a cliff.

A few things I've shipped.

Proof for the services above.

Ogden Agents

Open-source, multi-agent coding UI

A free, fully open-source (MIT) local app, in the spirit of herdr, for running Claude Code, Antigravity, Codex, Grok, or a local model from one browser UI instead of a terminal per agent. Permission cards before every command or edit, BMad planning and a live ticket board, and a UI you can theme down to the color.

  • Multi-agent
  • Permission cards
  • Open source (MIT)
  • UI theming
Ogden Agents' chat view: a project sidebar showing which chats are working or waiting, beside a permission card where Claude Code asks to run npm test.

Coming soon to iOS

Hermit

Private voice notes with on-device AI

Records, transcribes with Whisper, summarizes, and pulls out tasks on iPhone and iPad. Every step runs on the device's own chip, even in airplane mode.

  • On-device LLM
  • Whisper
  • iOS
The Hermit landing page: 'Your voice notes stay on your iPhone.', beside two iPhone screens showing a lecture recording summary and a task list.

ML classification pipeline

Sanitization, ETL, training, and evaluation in Jupyter and ML.NET, deployed as a working image classifier.

CI/CD for ThunderBeast.Studio

GitHub Actions pipelines that compile and deploy production builds straight to a live site.

Where this has been applied.

Full history on LinkedIn

Business Intelligence Analyst, Data Intelligence & AI

BlytzPay

Nov 2025 - Present

Build the BigQuery models and dashboards Finance, Risk, and Product run on, and own the evaluation framework for BlytzPay's production AI agent.

AI & Software Engineer, Technical Consultant

HSmithDev LLC

Feb 2025 - Present

Scope, build, and ship software for businesses of all sizes, owning the full lifecycle from requirements to production. Consulting and AI workflow training for organizations including the PROG Development Center and Acord.AI, and subject-matter expert for Western Governors University's B.S. in Data Analytics with AI.

Software and IT Services

Common Thread

Mar 2024 - Present

Backend services and SQL systems for a variety of clients, owning reliability with no platform team behind me.

Data Analyst Coordinator & AI Workforce Trainer

Salt Lake Community College

May 2023 - Nov 2025

SQL and JavaScript dashboards for stakeholder reporting, plus lead instructor for "AI @ Work," a workforce training series on prompt engineering and practical AI adoption.

Earlier technical roles

Instructure, Control4, Education at Work

2015 - 2021

SaaS support for the Canvas LMS, IT systems administration, and Microsoft Office support.

Open to new engagements

Have a project for your business?

hello@harrisonsmith.ai

HSmithDev LLC. Based in Ogden, Utah. Remote or local.