Who am I?
Who am I?
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I’m Noah Miller, a Mechanical Engineering undergraduate at the University of Tennessee—Knoxville, on track to graduate in May 2026. I have over 2.5 years of continuous professional experience executing complex, interdisciplinary R&D projects at Oak Ridge National Laboratory. My work centers on the intersection of mechanical design, automation, and AI/ML integration, where I translate complex research needs into viable, functional engineering solutions.
My technical expertise is defined by specialized project work in 3D Photogrammetry and Python scripting for advanced process control. This includes designing, prototyping, and validating an automated machine vision system for nuclear material inspection, requiring me to design around the strict, complex constraints of radiological gloveboxes and hot cells.
I believe in practical application and mentorship. Outside of ORNL, I serve as an engineering mentor for the FIRST Robotics team So-Kno Robo at South Doyle High School in Knoxville, Tennessee, where I help teach CAD, fabrication, and design principles. My hands-on skills are robust, covering proficiency in SolidWorks, Autodesk Fusion, CNC machining, and rapid prototyping for both professional and personal projects.
Skills
Skills
CAD / CAM / FEA: SolidWorks, Autodesk Fusion, AutoCAD, CAM (Computer-Aided Manufacturing), Design for Manufacturability, FEA (Finite Element Analysis) for structural validation, GD&T (Working Knowledge).
Automation & Vision: Python (Photogrammetry, Data Acquisition), OpenCV, AI/ML Application (Autoencoder, LLM Testing), MATLAB, Java.
Manufacturing: CNC Machining (Lathe, Mill, Router, Press Brake), 3D Printing, Laser Operation, Precision Fabrication, Prototyping.
Specialized & Analysis: Radiological Design (Gloveboxes/Hot Cells), Experimental Design, Technical Documentation, Project Management.
Work experience
Work experience
Mechanical Designer
Oak Ridge National Laboratory | January 2025 - Current• Contributed to mechanical design and drafting efforts across various projects, ensuring all engineering drawings adhered to specific group guidelines and manufacturing standards.• Utilized SolidWorks for the creation, modification, and management of complex assemblies and components, supporting the integrity and organization of the group’s CAD file system.• Aided in the design and deployment of specialized equipment within a radiological facility, with a focus on designing around unique constraints of gloveboxes and hot cells.• Executed part design, reverse engineering of existing components, and technical documentation to support the fabrication of precision components for critical facility operations.Education Collaboration Internship (ECO)
Oak Ridge National Laboratory | January 2024 - December 2024• Developed automated inspection scripts for batch pellet inspection using linear actuators and machine vision.• Programmed photogrammetry tools in Python and OpenCV to perform dimensional inspections of radioactive pellets.• Applied machine learning algorithms to inspect mock neptunium pellets and evaluate their viability.• Collaborated with external teams to integrate artificial intelligence for defect detection in radioactive pellets.Undergraduate Research Student Internship (URSI)
Oak Ridge National Laboratory | August 2023 - December 2023• Designed photogrammetry inspection software using Python and OpenCV, enhancing precision and automating the analysis of mock neptunium oxide pellets.• Evaluated and selected new equipment to ensure product viability and improve testing capabilities.• Performed dynamic similitude testing to integrate simulated hardware with existing systems, mimicking proposed hardware to validate performance prior to implementation.Science Undergraduate Laboratory Internship (SULI)
Oak Ridge National Laboratory | May 2023 - August 2023• Prototyped a novel testing method for inspecting radioactive pellets within a glovebox environment utilizing machine vision.
• Utilized SolidWorks to design and 3D print components for rapid prototyping.
• Assessed hardware specifications to determine if they met the necessary resolution requirements for delivering accurate and precise measurements in radioactive pellet inspection
Education
Education
B.S. in Mechanical Engineering
University of Tennessee | Knoxville, TN
August 2021- Expected May 2026
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