Engineering & Technology Leader

Solving complex industrial problems through engineering, systems thinking and technology.

Leading industrial digital transformation — from plant-floor control systems to data platforms and applied AI. 25+ years across industrial automation, complex systems, optimization and software, combining hands-on engineering depth with technical leadership and business responsibility.

25+
Years of professional engineering experience
30+
Recurring industrial clients across automotive, logistics & manufacturing
1,700+
Invoiced engineering services & interventions, 2011–2026
$150M+
MXN in cumulative invoiced revenue
About

Understand the system before selecting the solution

A career built on one recurring discipline: reasoning from first principles about a complex system under uncertainty, gathering evidence, and only then choosing the technology that fits — not the other way around.

I'm a systems-oriented engineering leader whose technical scope has expanded as the problems required it — not an automation specialist who gradually picked up software and AI. The common thread across 25+ years is complex industrial problem solving under uncertainty: decomposing a system, gathering evidence, ranking competing hypotheses, and validating a fix before calling it done.

That approach has been applied across industrial automation and control, motion control, industrial networks, machine safety, and the modernization of legacy systems that other engineers had already given up on diagnosing. As founder and director of Exxerpro Solutions, I built and led a multidisciplinary engineering team delivering that work for automotive OEMs and Tier-1 suppliers, logistics integrators, and industrial equipment manufacturers — while carrying P&L, client and strategic responsibility for the business itself.

The same first-principles reasoning has since extended the technical scope into mathematical modeling and optimization, evolutionary algorithms, industrial software and applied AI — evidence-based diagnosis and system decomposition applied to a wider set of tools, not a different way of thinking.

Physical System
Instrumentation
Control
Automation
Optimization
Software
Data
Artificial Intelligence
Business Decision
Expertise

Where I add the most value

Organized around the kind of problem being solved, not the brand of hardware involved — the reason I can move a project from plant-floor diagnosis to a management decision without handing it off.

🧩

Complex Industrial Systems

System architecture, modernization of legacy platforms, difficult diagnostics on undocumented or password-locked equipment, and production-critical engineering under real downtime constraints.

🧭

Engineering & Technology Leadership

Technical authority for difficult engineering and commissioning problems, multidisciplinary team building and mentoring, project and customer decisions, methodology and strategy — 16 years running an engineering business.

⚙️

Automation, Control & Motion

PLC/HMI/SCADA across Siemens and Allen-Bradley, servo and drive systems, industrial networks and machine vision. Designed and implemented safety PLC systems, and designed safety-related control functions applying ISO 13849 — including remediation and programming on applications targeting performance levels up to PL e. Developed standardized machine-control applications using PackML.

📈

Optimization & Modeling

Mathematical modeling, simulation, multiobjective optimization and evolutionary computation applied to real production and control-system design problems — the academic complement to the plant-floor work.

🔗

Industrial Digitalization

Part-level traceability, OEE reporting, industrial data pipelines and databases, and Industry 4.0 integration from the plant floor to a business system or management report.

🤖

Applied AI & Digital Engineering

Industrial AI and predictive analytics, cloud monitoring for industrial processes, and AI-assisted engineering reasoning — most recently a monitoring service offering for wastewater treatment plants and early adoption of LLM/RAG and agent-based tooling in engineering workflows.

Engineering Leadership

How I lead

Sixteen years of technical authority, team building and business responsibility — shown through evidence, not adjectives.

  • Built and led Exxerpro Solutions for 16 years (2010–2026), growing it from a lean startup to a peak multidisciplinary team of 21.
  • Served as the technical authority of last resort for the organization's hardest engineering and commissioning problems — the person called in when a system was undocumented, password-locked, or already failed by someone else's fix.
  • Led multidisciplinary project teams under real production and downtime constraints, on client sites and under client schedules.
  • Mentored engineers through direct project responsibility — assigning real problems, not simulations — using direct leadership during operational crises and a questioning, Socratic approach when developing engineers day to day.
  • Formalized personal engineering practice into a repeatable, teachable process rather than leaving root-cause diagnosis to individual instinct (see Engineering Methodology, below).
  • Held end-to-end business responsibility: customers, technical sales, engineering decisions, resourcing, suppliers, quality, and strategic planning for the company.
21
Peak multidisciplinary engineering team
150+
Control-system refurbishments & modernizations
200+
Machines / production lines serviced or improved
40+
Industrial-network diagnosis & implementation projects
25+
Motion-control projects
15+
Machine-vision projects
40+
VFD modernization projects

Career-inventory estimates reconstructed from 16 years of project and engagement records; presented as management's own reconstructed count rather than an independently line-audited figure.

Engineering Methodology

Speed comes from not solving the wrong problem

In 2013 I personally authored and formalized "Metodología para resolver un problema de automatización" — an ISO 9001-referenced Exxerpro internal procedure (FR-PYT-SRV-01) — to turn root-cause troubleshooting from individual engineering instinct into a repeatable, teachable 10-step process, plus a named set of reasoning models engineers are asked to apply during analysis.

  1. 1

    Preparation

    Confirm equipment, personnel, tools, software, safety gear, time and mindset are all ready before touching anything.

  2. 2

    Damage-control plan

    Assess the risk of any intervention before acting. Never make an irreversible change without the client's explicit, written acceptance of the risk and consequences.

  3. 3

    Complete, objective description of the symptoms

    A structured interview, not a guess — how and when it was first observed, whether it's reproducible, recurring or random, correlated with other events, tied to recent changes, or varies by operator, product or time of day.

  4. 4

    Document the current state of the equipment

    Back up programs, current configuration and process parameters, and capture the last known-good state if it exists.

  5. 5

    Verify the system operates to specification

    Check operating parameters and end-of-life components before assuming a deeper fault.

  6. 6

    Analyze and reproduce the symptoms

    Reproduce the failure and document it as completely as possible — record, photograph or film it, and capture every alarm.

  7. 7

    Delimit the fault to its root cause

    Three passes: fix any obvious component damage first; run a failure-mode analysis (list candidate causes most- to least-probable, design the simplest conclusive test for each); then a subsystem analysis (isolate and test each component, most- to least-likely). Still unresolved? Assume you made a mistake, not that the fault is unfindable — re-check your own elimination logic, widen the candidate lists, and reconsider system inputs and interactions with other systems.

  8. 8

    Document the problem and the solution

    Write it up and build guides so the same fault is prevented or resolved faster next time.

  9. 9

    Review the process itself

    A deliberate retrospective — which steps or ideas helped or hindered the investigation, what to improve, and setting concrete commitments to do so.

  10. 10

    Close out

    Confirm the fix with the team, celebrate the result, and formalize the documentation.

Thinking Models

Reasoning modes applied during root-cause analysis

Deductive

General to particular — a conclusion drawn from one or more premises.

Inductive

The reverse — reasoning from particular observations toward a general rule.

Analytical

Separating a whole into identifiable, categorized parts.

Synthetic

Moving from the simple to the composite — parts to whole, cause to effect.

Systemic

Viewing a complex set of elements through their interrelations, not in isolation.

Critical

Examining the structure of an argument itself — deciding what you actually believe, and why.

Creative

Producing new ideas to develop or modify something that already exists.

Instinctive

The immediate, unreasoned response most living things default to.

Interrogative

Reasoning driven by asking the right questions about what you need to know.

Source procedure formally ties "sistema" and "proceso" to ISO 9001:2005 §3.2.1/§3.4.1 — the same ISO-literacy reflected in the Expertise section above.

Beyond Troubleshooting

The same discipline, applied to team & task management

In 2023 I authored a companion internal methodology at Exxerpro — "Metodología para Organización profesional y laboral" — applying the same observe-document-analyze-verify discipline to everyday task and team management, plus a set of decision frameworks (SMART, Eisenhower, SWOT and more) built into it.

Research & Applied Optimization

From industrial engineering to computational intelligence

The academic and applied-research thread underneath the plant-floor work: industrial engineering → mathematical modeling & optimization → computational intelligence → applied industrial AI.

Graduate studies in Industrial Engineering (M.Sc., Instituto Tecnológico de Querétaro) sit alongside two decades of peer-reviewed research in chemical/process engineering — mathematical modeling, dividing-wall distillation, multi-objective genetic-algorithm optimization and, more recently, neural-network surrogate models — the same systems-thinking approach later extended into applied industrial AI.

26 verified peer-reviewed papers and conference proceedings, 1,027 citations, h-index 16 (Google Scholar, live).

Selected Work

Projects

A sample of delivered industrial automation, traceability and digitalization projects — real clients, real production lines. Filter by technology, or by the type of problem solved.

Traceability system architecture
Traceability · Industry 4.0

Headlamp Assembly Traceability System

Part-level traceability across two 20-station lines — Siemens PLCs, barcode scanning, and a custom VB/SQL Server data-acquisition app.

Siemens S7-1200Automotive
Control Migration
Motion Control

Steering Torque Tester Control Migration

Migrated a truck-steering torque test rig from PLC5/1394 to ControlLogix/Kinetix 6500, with a full logic rewrite and 4-day commissioning.

Allen-BradleyAutomotive
Traceability Platform
Traceability · Industry 4.0

IndTrace — Traceability & Production-Monitoring Platform

A multi-tenant .NET platform evolved from a bespoke Valeo traceability system into a reusable architecture for real-time PLC data capture, OEE dashboards, and production monitoring.

.NET 10Real-Time Systems
EPLAN · PDF · CAD
Software · Open Source

EPLAN Engineering Tools

Reverse-engineered EPLAN's PDF text encoding and built converters from Rockwell and Siemens PLC exports into EPLAN and QElectroTech CAD documentation.

PythonOpen Source
Knowledge Graph · AI
Software & AI · Industrial AI

CubeXplorer — Industrial AI Diagnostic Platform

An advisory-only AI reasoning system that reads PLC control-logic exports into a knowledge graph and diagnoses machine degradation with evidence-backed, traceable claims — never writes to equipment.

.NET 10Knowledge Graphs
Open Source · NuGet
Software & AI · Open Source

IndQuestResults — Open-Source Result<T> Library

Zero-dependency functional error-handling library for .NET, designed and maintained solo, published to NuGet.org through an automated release pipeline.

.NET 10NuGet
Document AI · Compliance
Software & AI · Financial Services

Regulatory Compliance & Document-Intelligence Platform

Architected and directed a .NET document-intelligence platform for a major Mexican financial institution — regulatory request processing and automated statement verification on one shared foundation.

.NET 10Hexagonal Architecture
AI · Cloud · IIoT
Applied AI · Service Offering · 2025

AI Monitoring for Wastewater Treatment Plants

Sensor, AI and cloud-based monitoring service I designed for PTAR operations — predictive analytics, remote dashboards, projected efficiency gains sized for prospective clients.

Applied AICloud
Kinetix 6500 servo panel
Motion Control

Motion Migration — Surgical-Drape Machine

Migrated a discontinued SLC 500/1394 motion platform to ControlLogix/Kinetix 6500 — 8 coordinated machine axes on 13 servo drives/motors — in a 14-day window.

Allen-BradleyMedical
Torque assembly station
Motion Control

Power-Steering Gear Assembly Throughput Increase

Controls migration plus mechanical redesign lifted output from 15–25 to 35–40 pieces/hour.

Allen-BradleyAutomotive
CompactLogix control cabinet
Automation & Controls

Headlamp Reflector Vacuum-Metallizer Migration

Replaced an obsolete Siemens TI545/UniOP platform with CompactLogix and PanelView Plus 6 — 5-day commissioning.

CompactLogixAutomotive Lighting
Siemens control panel
Automation & Controls

Recovering a Password-Locked Textile Machine

Reverse-engineered a warping machine's control logic after its S7-200 was locked with no recoverable password.

SiemensTextile
OEE dashboard
Software & AI

Multi-Machine OEE Reporting Platform — DeAcero

An 11-app VB.NET/SQL Server suite delivering live OEE dashboards across 6 mesh-weaving machines.

VB.NETSQL Server
BRP Lux fixture
Traceability · Industry 4.0

Chromatic Classification Gateway — Valeo

Linux gateway reading Edixia photometry results and auto-printing color-coded quality labels in real time.

Valeo2023
Control panel with Dajac and Siemens PLCs
Automation & Controls

Automated Photometric Inspection Station

4-position indexing table inspecting 3 headlamp models for Valeo Sistemas Eléctricos, correcting a flawed client design.

Siemens S7-1200Valeo
CAD render of assembly station
Automation & Controls

Automated Plunger & PLV Assembly — Tremec

Replaced a manual assembly step with an automated press station and full Datamatrix traceability.

Tremec2024
Vertical press stations
Automation & Controls

Vertical Press for Light-Guide Clipping — Jeep Line

Modular, quick-change tooling press cutting cycle time and defects on Valeo's Stellantis Jeep line.

ValeoStellantis
3-Line Traceability
Traceability · Industry 4.0

Multi-Line Traceability — CHMSL, Bumper Lamp, Spoiler

Real-time component genealogy and quality reporting across three Valeo assembly lines.

Valeo2023
Warehouse Automation
Automation & Controls

Warehouse Automation Controls Support — Costa Rica

Embedded on-site controls commissioning support for a large automated distribution center — spiral sorter, conveyors, WCS integration.

Allen-BradleyLogistics
Aluminum can-stock uncoiler
Automation & Controls

Cupper & Uncoiler Migration — Ball Corporation

Replaced an obsolete Modicon/Parker platform with ControlLogix L81 on a live can-stock line.

Allen-BradleyBall Corp.
Client Feedback

What clients say

Signed recommendation letters from engineering and purchasing managers at companies Exxerpro worked with directly. Originally written in Spanish; translated below.

We highly recommend Exxerpro Solutions S.A. de C.V., which has developed engineering and automation projects for our company, along with fault-recovery support, consulting, and preventive/corrective maintenance — with quality and excellence.

Ing. Juan Guzmán Engineering & Projects Manager, Prettl de México (Prettl Group)

Exxerpro Solutions consistently delivers projects for our company on time, on budget and to specification, with an excellent service attitude, responsibility and excellence.

Ing. Mario Reséndiz Project Engineer, Valeo Sylvania Iluminación · 2012

Exxerpro has developed projects for our company on time and to specification, supporting the correction and elimination of faults across different control platforms — with an excellent work attitude, strong responsibility, and adherence to our safety guidelines.

Ing. Huemak Almaraz Medina Maintenance Chief, UDN 127, Mabe · 2012

We highly recommend Exxerpro Solutions S.A. de C.V., represented by M. en C. Abel Briones Ramírez, who has provided engineering and automation services to our company.

Alejandro Ramírez Reynoso Purchasing, Condutel · Grupo Condumex

Let's talk

Open to senior engineering and technology leadership roles across complex industrial systems, advanced manufacturing, digital transformation and applied AI.