Addison Smith
Controls Engineering Technician at Daedalus Industrial, bridging mechatronics and intelligent software. Building at the intersection of industrial automation and AI.
Engineer. Developer. Builder.
I wire 480V control panels at 8am and train neural networks at 8pm. I bridge the gap between industrial hardware and intelligent software.
Controls Engineering
PLC troubleshooting, system integration, industrial wiring, and automation R&D.
AI & Machine Learning
Computer vision, model training, data pipelines, and agentic systems.
Software Development
Python, JavaScript, SQL, web apps, and database design.
My goal is to design the next generation of industrial systems where automation, AI, and real-world engineering come together.
Tech Stack
Experience & Education
Work Experience
Controls Engineering Technician
Daedalus Industrial
Controls Engineering
- Execute wiring, setup, and testing of control systems for automation and R&D projects, ensuring reliable performance
- Troubleshoot and assist with PLC programming and system integration to support development and production environments
Machine Learning
- Contribute to model training and validation for applied computer vision and automation tasks
- Support data collection, labeling, and analysis to improve model accuracy and operational efficiency
Information Technology
- Provide general IT support for control systems and connected devices, ensuring smooth integration and network functionality
Electrical Technician
AIRSYS USA
- R&D support for cooling systems used in chip and data center applications
- Build and wire 110V–480V control panels
- Read schematics, troubleshoot systems, and configure sensors
- Collaborate with engineers on prototype testing and updates
Wiring Technician
Vertiv
- Wired industrial switchgear systems following detailed schematics and NEC safety codes
- Conducted quality checks to ensure accuracy and reliability of assemblies
Education
BS Information Technology
Software Development & Coding, AI/ML and Data Analytics track
ECPI University
Bachelor of Science in Information Technology with a concentration in AI/ML and Data Analytics. On track for February 2027 completion.
AS Mechatronics, Robotics & Automation Engineering
Piedmont Technical College
Graduated with 3.8 GPA. Hands-on training in electrical, mechanical, and automation systems.
Things I've Built
Smith_Agentic
A modular multi-agent framework for engineering workflows, built as three components: a Python/CrewAI backend with twenty specialized agents across four crews, a React UI with live WebSocket streaming, a template library of 18 pre-built tasks across Code, PLC, HMI, Vision, Safety, and Ops categories, and offline demo mode, and an MCP server that exposes crew runs as tools for Claude Code and Claude Desktop.
Twenty specialized agents. Four crews. One framework that turns engineering goals into finished deliverables without touching the cloud.
Argus
Industrial anomaly detection platform. Monitors live Modbus register data using statistical analysis, generates plain-English diagnoses via local LLM, and fires alerts before problems become failures.
Watches your Modbus registers around the clock, catches drift before it becomes failure, and tells you exactly what's wrong in plain English.
Vision_Inspect
A local shop-floor visual process monitoring system using Visual Language Models via Ollama for real-time inspection of manufacturing processes. Sees everything, touches nothing, reports everything.
Local VLM-powered visual inspection for manufacturing.
ModBridge
Modbus TCP utility that polls live register values, serves them as a REST API, logs to CSV, and runs a built-in fake device for testing. Ships in both Rust and Python with identical feature sets.
Industrial field data, turned into a clean REST API, in one binary with no runtime required.
Power Dashboard
Real-time Electrical Power Monitoring System dashboard with simulated Modbus data collection, ISA 18.2 alarm management, interactive one-line diagrams, and historical trending. Built for data center and industrial facility monitoring.
Full-stack EPMS with real-time WebSocket data, 8 simulated meters, and ISA 18.2 alarm engine.
Chalk
An AI football intelligence platform built for coaches. Three modules cover film analysis, recruiting evaluation, and game plan recommendations, powered by recognition, analytics, and recommendation intelligence layers.
Three modules. One platform. Film, recruiting, and game planning intelligence built for coaches who think in systems.
Sift
A camera-first personal decision engine. Point your phone at any product, restaurant, or item and get an instant AI-powered score, verdict, and ranked alternatives pulled from real reviews and local options. Built with preference learning so results get smarter over time.
Point. Scan. Decide. AI-powered verdicts on any product, restaurant, or item in seconds.
Resume Portfolio Builder
Streamlit resume builder with a live bullet-strength analyzer that scores every line in real time and grades the whole resume out of 100. Most resume tools typeset; this one teaches.
Coaches users into hire-ready bullets while they type, flagging weak verbs and missing metrics on every keystroke.
Certifications & Achievements
Building Agentic AI Applications with Large Language Models
NVIDIA Deep Learning Institute
VerifyExpert Panel Contributor, Data Center Cooling
Mordor Intelligence
2025Recognized as a member of their Expert Panel Group for contributing subject matter expertise and strategic insights to the Data Center Cooling market report.
VerifyFoundational Certifications (6)
From the Blog
Because I Saw It
On recognizing the right opportunity when it appears -- and what it takes to actually act on it.
From Story to Systems: Breaking Down My Portfolio and Power Dashboard
A technical breakdown of two projects. No fluff. Just how they work.
The Hardest Part of Engineering Is Deciding Which Problems You Want to Spend Your Life Solving
Engineering is not just about fixing what exists. It is about deciding how it should exist in the first place.
Let's Connect
I'm always interested in connecting with people working at the intersection of industrial automation and intelligent software. Whether you want to talk about controls engineering, AI/ML, or potential opportunities, feel free to reach out. I typically respond within 24 hours.