hello@harrisonsmith.ai

Hi, my name is

Harrison Smith.

I'm an 

Bridging LLM orchestration, RAG architecture, and production-grade business intelligence. Pursuing an M.S. in Applied AI at Neumont — building systems that work in the real world.

0+
Years in Tech
0
Languages
App
Store Published
M.S.
Applied AI '26
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01. About Me

I'm an AI Engineer and BI Analyst with a track record of turning complex data infrastructure and AI systems into real business outcomes. I hold a B.S. in Computer Science from Weber State University and am completing my M.S. in Applied Artificial Intelligence at Neumont University (expected Sept 2026), with hands-on focus on ETL pipelines, data sanitization for model training, and Retrieval-Augmented Generation architectures.

At BlytzPay, I serve as the technical bridge between stakeholders and data infrastructure — architecting BigQuery pipelines, engineering Tableau dashboards, and supporting human-in-the-loop evaluation of internal AI agents. I've published a desktop tool to the Apple App Store, built agentic systems orchestrating multiple LLMs through RAG memory layers, and led intern teams on full-stack products that influenced state-level policy data.

My background includes enterprise roles at Hill Air Force Base, Instructure (Canvas), Microsoft, and Control4 — a foundation that shapes how I approach AI systems: with the discipline, reliability, and attention to production concerns that those environments demand.

M.S. Applied AI — Neumont '26 App Store Published Currently @ BlytzPay

Technologies I work with:

  • Python & JavaScript
  • TensorFlow / PyTorch
  • LLM Orchestration & RAG
  • Google BigQuery
  • Tableau / PowerBI
  • SQL & ETL Pipelines
Harrison Smith

02. Experience

Business Intelligence Analyst @ BlytzPay

Nov 2025 – Present

  • Serve as the technical bridge between internal stakeholders and data infrastructure, translating business needs into actionable Google BigQuery data pulls and Tableau dashboards.
  • Support continuous human-in-the-loop training and evaluation of internal AI agents, delivering targeted prompt refinement to resolve tool-execution errors and improve response quality.

Software & IT Services @ Common Thread

Mar 2024 – Present

  • Execute backend troubleshooting, ongoing software development, and SQL database management to support a variety of IT operations and client requirements.

Data Analyst Coordinator & AI Trainer @ Salt Lake Community College

May 2023 – Nov 2025

  • Instructed specialized courses in AI, Robotics, and 3D Printing for underserved youth through the Verizon Innovative Learning program.
  • Co-developed and taught "AI @ Work" — an innovative curriculum prototype focused on prompt engineering and practical AI workplace integration.
  • Engineered data visualizations using SQL and JavaScript to align regional training programs with local career opportunity data.
  • Built and published the Canvas SIS Prep Tool to the Apple App Store — a cross-platform desktop utility adopted by the Workforce Training team.

Independent Technical Consultant & AI Developer @ PROG Foundation · Acord.AI

Ongoing

  • Deliver technical training, step-in instruction, and curriculum facilitation to empower diverse audiences in integrating AI workflows and emerging technologies.

Software Development & Systems Roles @ Hill AFB · Instructure · Microsoft · Control4

2015 – 2023

  • Held comprehensive software development, data analysis, and system support positions across defense, EdTech, and enterprise technology sectors.
  • Built a foundation in production-grade engineering discipline — large codebases, cross-functional collaboration, and zero-downtime deployments.

03. Skills & Technologies

LLM Orchestration RAG Architecture Prompt Engineering Claude / GPT / Gemini Ollama KoboldCpp AI Agent Evaluation Claude Code TensorFlow / Keras PyTorch ML.NET Scikit-learn CNNs ETL & Data Sanitization Jupyter Notebooks Google BigQuery Tableau PowerBI SQL Matplotlib Data Visualization Python JavaScript Swift C# C++ Bash / Shell Google Cloud (GCP) Microsoft Azure GitHub Actions CI/CD Pipelines Git Jira / Agile Linux macOS Windows Vector Databases REST APIs Full SDLC

04. Featured Work

Lorekeeper

Agent AI & LLM Orchestration

Full-stack JS application orchestrating Claude, Gemini, and ChatGPT through a Retrieval-Augmented Generation memory layer. Manages local AI environments (KoboldCpp, Ollama) to stress-test context windows and multi-backend system architecture.

JavaScript RAG Multi-Model LLM Ollama

The Plant Doctor

Machine Learning & Computer Vision

End-to-end image classification app using ML.NET and CNNs. Ran the full pipeline — data collection, ETL processing and sanitization via Jupyter, model training — through to a deployed classification interface.

ML.NET CNN ETL Pipeline Jupyter

05. What's Next?

Get In Touch

I'm actively exploring opportunities in AI engineering, BI architecture, and data-driven product development. Whether you have a project, a role, or just want to connect — I'd love to hear from you.