Automation Engineering · Independent Research · EOI Framework

David Valles

Automation Engineer and independent researcher working across industrial control, robotics, machine vision, AI-assisted systems, and the Energy–Order–Information framework.

Profile

Mechatronics Engineer with 8+ years of experience in industrial automation, PLC systems, robotics, vision systems, process optimization, traceability, and production data systems.

Industrial Automation

PLC programming, troubleshooting, robot integration, camera systems, automated inspection, and manufacturing controls.

Independent Research

Energy–Order–Information, coherence, emergent physical structure, internal comparison, self-reference, and conscious organization.

AI Systems

EOI Mind, mirror-integration architectures, multi-model comparison, response depth, coherence, and self-correction.

Publications

ResearchGate publications connected to EOI, coherence, correlation, emergent systems, mathematics, and consciousness.

01

The Energy–Order–Information Loop Theory

A Framework for the Emergence of Conscious Structure and Universal Equilibrium

ResearchGate ↗
02

The Energy–Order–Information Loop (EOI)

A Conceptual and Mathematical Framework for Coherent Physical Structure, Classical Accessibility, and Conscious Organization

ResearchGate ↗
03

Coherence as a Dynamical Field

A Relativistic Extension of the Energy–Order–Information Framework

ResearchGate ↗
04

Toward a Universal Correlation Principle

Coherence Reconstruction and the Emergence of Interdependent Structure within the EOI Framework

ResearchGate ↗
05

Transition of Dominance in Emergent Systems

Solar Formation, Feedback Asymmetry, and Black Holes within the EOI Framework

ResearchGate ↗
06

A Minimal-Resolution Interpretation of the Riemann Hypothesis

Within the Energy–Order–Information Framework — Submission Note

ResearchGate ↗
07

Consciousness as the Integration of Differentiated Internal Modes Capable of Comparison

An EOI Extension on Internal Contrast, Self-Reference, and Mental Depth

ResearchGate ↗

Experience

Industrial experience spanning automation engineering, controls, operations technology, maintenance, robotics, vision, and production systems.

Current position

Automation Engineer

Wiwynn Technology Corporation · Socorro, Texas · 2026–Present

  • Programs and supports Keyence KV-800 PLC systems using KV Studio.
  • Programs Universal Robots and Epson robots for manufacturing processes.
  • Integrates camera vision systems with PLC and robot controls.
  • Supports automation reliability, troubleshooting, and process improvement.

2025–2026
Scientific TechnicianNOVIPAX

Failure analysis, equipment troubleshooting, preventive maintenance, and downtime reduction.

2022–2025
Senior Controls EngineerCooper Standard

Control-system improvements, PLC training, vision integration, robotic precision control, and cycle-time reduction.

2019–2022
OT Controls EngineerMAHLE Compressors

SQL traceability, real-time production data, Industry 4.0 integration, and equipment connectivity.

2018–2019
Maintenance SupervisorMAHLE Compressors

TPM, preventive maintenance, technicians, suppliers, spare parts, downtime analysis, and OEE.

2016–2018
Controls / Maintenance TechnicianMAHLE Compressors

Troubleshooting, robot parameterization, production boards, Kaizen, and equipment improvement.

Technical Skills

Core tools and systems drawn from professional experience and active technical projects.

PLC & Controls

Allen-Bradley RSLogix 500/5000, Studio 5000, Siemens TIA Portal, Keyence KV-800, KV Studio, FactoryTalk.

Robotics & Vision

Universal Robots, Epson robots, robocylinders, 3-axis robots, camera vision integration, inspection logic.

Software & Data

Python, SQL, Visual Studio, VB.NET, APIs, real-time data acquisition, traceability systems.

Engineering

SolidWorks, ANSYS Workbench, TPM, Kaizen, OEE, preventive maintenance, root-cause troubleshooting.

Selected Projects

Research, AI, industrial systems, digital infrastructure, and applied engineering projects.

EOI Mind

Mirror-integration AI architecture combining differentiated AI modes to improve response depth, coherence, dialectical quality, and self-correction.

Energy–Order–Information Framework

Independent research framework exploring energy, order, information, coherence, stability, emergent structure, and conscious organization.

Industrial Traceability

SQL-based real-time production tracking and traceability systems deployed across more than 20 manufacturing lines.

Vision & Robotic Integration

Vision systems, robocylinders, robotic cells, automated inspection, positioning, and precision part control.

VS Signal

Digital platform for professional profiles, local businesses, articles, client visibility, and project presentation.

Engineering Innovation

HVAC fan redesign using ANSYS and SolidWorks, plus four provisional patent filings related to energy storage.

Education

Academic foundation and continued technical development.

Mechatronics Engineering

Universidad Autónoma de Ciudad Juárez

Technical Coursework

Electronic Fundamentals, Blueprint Reading, Quality, and Preventive Maintenance · EPCC · 2026

Contact

For research, engineering, automation, AI systems, professional collaboration, or VS Signal projects.

Email: [email protected]