Manufacturing Technology Professional
Leadership - Industry 4.0 - Robotics - Computer Vision - Software - IIOT
Justin Clay
Manufacturing is where the intersection of technology and business principles come together. I take manufacturing products & processes from concept to mass production.

Automating Manufacturing Since 2010
Since 2010, I’ve empowered manufacturing companies to rapidly build and deliver high-quality products and processes with efficiency. If you’re considering modernizing your manufacturing with robotics and software, let’s talk.
15+ Years of Advanced Manufacturing Engineering
From iPhones to electric motors, Ive seen almost every process there is.
Robotics, Hardware & Software
I bring expertise in all domains of Manufacturing Engineering (Electrical, Mechanical and Computer Science)
Leadership & Collaboration
I have lead multiple engineering teams to success, with a deep focus on collaboration and data driven decision making
Factory Automation & Robotics
Understanding how integrated mechanical and software systems in robotics deliver measurable financial outcomes – for better or worse – is the core of effective automation, not just motion control.

Key Experience
- Linear Motion Systems: Gantry robots, linear motors, multi-axis motion control from Yaskawa, Bosch + more.
- Robotics: SCARA (4 axis), 6 Axis Manipulators and 14 Axis dual arm robotics from ABB, Yaskawa, Fanuc + more
- Smart Conveyors: SMEMA standard conveyance systems, Bosch integrated conveyance
- Full System Integration: Executed multiple projects for full system integration (from concept to mass production).
Digital Transformation
The heart of successful digital transformation is data. Companies that prioritize a data-first approach unlock significant advantages. This journey starts with establishing the cultural foundation and strategies necessary to capture operational data and convert it into powerful, actionable information.
Key Experience
- ERP: An Enterprise Resource Planning (ERP) system is a comprehensive software solution that integrates and manages a company’s core business processes, from finance and manufacturing to supply chain and HR, within a single, unified platform.
- MES: An MES (Manufacturing Execution System) is a dynamic software system that monitors, tracks, documents, and controls the production process on the factory floor in real time..
- SCADA: SCADA (Supervisory Control and Data Acquisition) system is a control system architecture that gathers data from industrial equipment and processes in real-time.
- Controllers: These are the real time systems that interact with the sensors and convert sensor data into real time context data.

Computer Vision
Computer Vision is rapidly transforming the manufacturing landscape. This powerful technology enables machines to interpret their surroundings, unlocking new possibilities for extracting critical information and reacting to events in real time on the factory floor.
Key Experience
- 2D Vision: Most manufacturing Computer Vision applications rely on 2D vision systems to accurately detect and measure objects on the factory floor, crucial for tasks like quality control and part inspection. Major brands I’ve worked with are:
- Keyence
- Omron
- Cognex
- +More
- GiG-E: GigE Vision camera standards provide the flexibility to build customized Computer Vision applications using open-source software and generic hardware, offering a cost-effective and adaptable solution for manufacturers.
- Zebra
- Basler
- Omron
- Teradyne
- +More
- 3D Perception: 3D Perception technologies, including LiDAR, Stereo Cameras, and Projection Vision Systems, enable machines to perceive depth. This capability is vital for advanced tasks like navigating complex spaces, precise volumetric measurements, and enhancing robotic guidance in manufacturing environments.
- Intel Real Sense
- Luxonis

Companies Overview
Data Driven Problem Solving
“Manufacturing is complex, its nearly impossible to understand all of the variables that will affect the business. Therefore the only approach that works is one based on data and allows you the flexibility to pivot as we learn from the data.”
-Justin Clay
1. Problem Definition & Analysis
Define your problem precisely at the start of every process: set constraints, explicitly exclude non-issues using available data, and from there, develop a strong business thesis.
2. Proof Of Concept (POC)
During the proof of concept (POC) phase we develop a method to test the thesis and empirically prove that a solution is feasible. POC's need to be lightweight and adaptable to changes as new data comes in.
3. Prototype Development/MVP
Launch your initial prototype in a controlled, offline environment, minimizing external variables. Once it's robust, replicate it strategically to ensure your design scales effectively.
4. FAT/SAT -> Mass Production
With a validated solution design in hand, we move to strategic scaling. Efficient production ramp-up demands meticulous coordination across the entire supply chain, ensuring the quality of incoming materials, the readiness of personnel, and the optimal performance of machinery.
Key Skills
Process Optimization
Creating the optimal manufacturing process and identifying key areas of opportunity for capital investment.
Dispensing
Laser Weld/Solder/Etching
Force Control Systems
Torque Driving
Quality Inspection
Robotics & Software
Transform your manufacturing with a fully connected ecosystem, providing the real-time intelligence you need for decisive and effective execution.
MES and SCADA Integration
IOT | Industry 4.0
Data & Analytics
Robotics Programming
Computer Vision
Leadership
Possessing a broad range of engineering management experience, I have successfully led multiple engineering teams across several large-scale international manufacturing operations.
Engineering Management Experience
Experience with Asia/South America/US
Technical Project Management
Business Consulting
Justin Clay MBA, BSME

A Passion for Manufacturing
As an Advanced Manufacturing Engineer I have a deep understanding of the technical intricacies required to build high-performing manufacturing systems. I also bring significant leadership experience in effectively managing and collaborating within large teams.
-Justin Clay MBA, BSME
Years of Experience
Decades of experience in delivering exceptional projects.
Automation Projects Completed
Decades of experience in delivering exceptional projects.
Successful Product Launches
Decades of experience in delivering exceptional projects.
Testimonials
My commitment to success is reflected in their feedback.
Justin was a big help when he was at ABB. Justin knew the robotic technology inside and out. I was requesting a lot of help and Justin never made me feel as though every request was simple. He was knowledgeable and helped when he didn't need to help, I really appreciated that.

Justin is a very intelligent individual who has demonstrated his overall manufacturing and engineering knowledge. I have seen him not only work on but lead multiple manufacturing engineering projects that demonstrated his knowledge in not only manufacturing processes dealing with machining, assembly or test but being able to incorporate automation to these processes
I've known Justin for 11 years and have had the pleasure of working with him at ABB. He's one of the most reliable, innovative professionals I’ve met. Justin brings cutting-edge ideas to the table and consistently goes the extra mile to ensure work is done right, efficiently, and effectively. A robotic demo he created 11 years ago is still in use today because of its standout design and lasting impact. Justin’s work delivers long-term value and continues to raise the standard.

Justin and I worked together for over a year and he always impressed me with this positive energy, good ideas and general initiative. We hired him to implement automation solutions and once on board he moved at high speed on automation hardware design, software implementations, vision system concepts and many more projects that improved quality and efficiency. His knowledge and experience are clear but he is also very open to learning and new ideas. That's a good thing for him because there is a lot of opportunity to apply AI to the tools and solutions he is already familiar with. Highly recommended.
