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.
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.
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.
System architecture, modernization of legacy platforms, difficult diagnostics on undocumented or password-locked equipment, and production-critical engineering under real downtime constraints.
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.
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.
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.
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.
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.
Sixteen years of technical authority, team building and business responsibility — shown through evidence, not adjectives.
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.
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.
Confirm equipment, personnel, tools, software, safety gear, time and mindset are all ready before touching anything.
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.
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.
Back up programs, current configuration and process parameters, and capture the last known-good state if it exists.
Check operating parameters and end-of-life components before assuming a deeper fault.
Reproduce the failure and document it as completely as possible — record, photograph or film it, and capture every alarm.
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.
Write it up and build guides so the same fault is prevented or resolved faster next time.
A deliberate retrospective — which steps or ideas helped or hindered the investigation, what to improve, and setting concrete commitments to do so.
Confirm the fix with the team, celebrate the result, and formalize the documentation.
General to particular — a conclusion drawn from one or more premises.
The reverse — reasoning from particular observations toward a general rule.
Separating a whole into identifiable, categorized parts.
Moving from the simple to the composite — parts to whole, cause to effect.
Viewing a complex set of elements through their interrelations, not in isolation.
Examining the structure of an argument itself — deciding what you actually believe, and why.
Producing new ideas to develop or modify something that already exists.
The immediate, unreasoned response most living things default to.
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.
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.
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).
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.

Part-level traceability across two 20-station lines — Siemens PLCs, barcode scanning, and a custom VB/SQL Server data-acquisition app.
Migrated a truck-steering torque test rig from PLC5/1394 to ControlLogix/Kinetix 6500, with a full logic rewrite and 4-day commissioning.
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.
Reverse-engineered EPLAN's PDF text encoding and built converters from Rockwell and Siemens PLC exports into EPLAN and QElectroTech CAD documentation.
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.
Zero-dependency functional error-handling library for .NET, designed and maintained solo, published to NuGet.org through an automated release pipeline.
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.
Sensor, AI and cloud-based monitoring service I designed for PTAR operations — predictive analytics, remote dashboards, projected efficiency gains sized for prospective clients.

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.

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

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

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

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

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

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

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

Modular, quick-change tooling press cutting cycle time and defects on Valeo's Stellantis Jeep line.
Real-time component genealogy and quality reporting across three Valeo assembly lines.
Embedded on-site controls commissioning support for a large automated distribution center — spiral sorter, conveyors, WCS integration.

Replaced an obsolete Modicon/Parker platform with ControlLogix L81 on a live can-stock line.
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.
Exxerpro Solutions consistently delivers projects for our company on time, on budget and to specification, with an excellent service attitude, responsibility and excellence.
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.
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.
Open to senior engineering and technology leadership roles across complex industrial systems, advanced manufacturing, digital transformation and applied AI.