That's not a coincidence. It's a philosophy that took me 25 years to articulate - and that I've been living the whole time.
Industrial operations and world-class athletic performance look different on the surface. One involves process maps, control rooms, and safety-critical documentation. The other involves helmets, mountain roads, and split-second decisions at 130 km/h. But the underlying discipline is identical: you understand the system deeply, you reduce uncertainty wherever possible, you prepare until preparation becomes instinct - and then you execute.
The mills I've worked in are full of intelligent, capable people who deserve better systems - clearer documentation, more accessible procedures, tools that respect their expertise rather than obscure it. That's what drives me. Not metrics. Not certifications. The belief that good systems make demanding work safer, more dignified, and more meaningful.
25+ years across pulp & paper, chemical processing, renewable energy manufacturing, and mining equipment - from hands-on DCS operations to leading mill-wide documentation modernization, P&ID redevelopment, LOTO system overhaul, and digital twin implementation strategies.
Bridges frontline technical work with organizational strategy. Known for building documentation frameworks, training architectures, and safety systems that actually get used - because they were designed with the worker in mind.
IGSA World Champion. Former 2× Guinness World Record holder - records since surpassed, but set through the same systematic preparation that defines every project. A parallel career that built deep fluency in high-consequence risk management and composure under pressure - skills that translate directly to complex industrial environments.
Most industrial improvement efforts fail not because the technology is wrong, but because the human system surrounding it is ignored. Good operational design starts with the people doing the work.
SOPs and P&IDs aren't paperwork - they're the operating system of an industrial facility. When they're outdated, inconsistent, or inaccessible, the gap gets filled by tribal knowledge that walks out the door every time a senior operator retires. Building documentation systems that are accurate, navigable, and built around how workers actually think is foundational, not optional.
Human reliability research makes this concrete. Studies referencing the SPAR-H framework (used in nuclear and petrochemical industries) identify a critical trust threshold: once an operator encounters errors in a procedure - even if the document is 90–95% correct overall - perceived reliability collapses entirely. Research consistently shows that more than half of operators will abandon the document and revert to memory, tribal knowledge, or informal shortcuts. This isn't a discipline problem. It's a systems design problem. A procedure that is almost right is, operationally, wrong.
Most safety failures aren't failures of intention - they're failures of information. A worker who can't quickly find the correct lockout procedure, or who's working from a P&ID that doesn't match the current configuration, is working in a system that sets them up to fail. The goal isn't more procedures. It's clearer ones.
Industrial plants are not static. They're modified, expanded, and repaired constantly - which means as-built drawings become fiction within months of a major turnaround. Digital twins built from LiDAR scans create a persistent, accurate record of the facility as it actually exists, not as it was designed. That's the foundation for every meaningful modification decision.
The operators, technicians, and maintenance crews in a heavy industrial facility carry an extraordinary depth of knowledge about how the systems actually behave. The best operational improvements surface and codify that knowledge - they don't replace it with external consulting frameworks that disappear with the consultant. Real operational intelligence is built from the inside.
In high-turnover industrial environments, every day between onboarding and independent, safe operation is a live exposure window. Closing that window requires training architecture that is precise and noise-free: a single, verified path through exactly what is required - tactical steps through known checkpoints, not open-ended instruction that degrades with each informal retelling. When tribal knowledge substitutes for documented procedure, the second generation learns a distorted version. The third learns guesswork. Effective industrial training is not a choose-your-own-adventure. It is deliberate, auditable, and leaves nothing to interpretation.
Real systems, built for real environments. Each project started with a specific operational problem - and ended with something that will still be used five years from now.
Inherited a documentation landscape that was non-compliant, incomplete, and largely inaccessible to the operators who needed it most. Led a full re-architecture: rebuilding the SOP library from the ground up using plain-language design principles, redeveloping P&ID drawings to current ISA standards, and overhauling the LOTO program to reflect actual equipment configuration. The goal throughout was a system operators could trust and navigate under pressure.
The stakes of getting this right go beyond compliance. Human Factors research - including analyses grounded in the SPAR-H human reliability framework used in high-consequence industries - identifies a "trust threshold" phenomenon: when an operator encounters even one or two errors in a procedure, their confidence in the entire document system collapses. Studies consistently show that once this threshold is crossed, the majority of operators abandon formal procedures entirely, falling back on memory and informal workarounds. The solution isn't just fixing documents - it's building a redline culture where errors are surfaced and corrected in real time, and a documentation architecture accurate enough that operators never have reason to doubt it.
Championed the introduction of 3D laser scanning to capture as-built conditions across key process areas. The resulting point cloud data forms the foundation of a living digital twin, enabling accurate spatial planning for modifications, reducing collision risk during pipe reroutes, and creating a persistent facility record that survives the next generation of personnel turnover. This is infrastructure intelligence, not just technology adoption.
The deeper opportunity is immersive training embedded directly inside the model. Platforms like Treedis already demonstrate what is possible with overlay layers on Matterport scans, anchoring procedures, hazard callouts, and step-by-step task guidance to specific physical locations within the scan. Applied to industrial facilities, this creates a training environment where operators navigate the actual plant, virtually, before setting foot in it. The gamification angle is deliberate: consistency scores, task completion paths, and branching decision points that produce standardized outcomes regardless of who trained the individual or when. Institutional knowledge stops being oral tradition and becomes a navigable, auditable environment.
Identified critical gaps where LOTO procedures were incomplete, mismatched to current equipment states, or entirely absent for recently modified systems. Designed and deployed a compliant, station-specific LOTO framework with visual procedure boards, energy isolation maps, and auditable verification steps. The measure of success wasn't compliance - it was whether the worker arriving at 3am for an emergency maintenance task could find and follow the correct procedure without a phone call.
Led field logistics, layout execution, and technical commissioning for GE heavy automation systems in international wind turbine blade manufacturing facilities. The most valuable work wasn't the installation - it was rewriting the installation manuals after the first cycle. Finding the procedural gaps that only appear in the field, and building documentation systems that made the second cycle faster, safer, and independently executable by local teams.
Downhill skateboarding at the elite level is not a reckless pursuit. It's one of the most systems-dependent disciplines in sport. The margin for error at 130 km/h is essentially zero - which means every component of the system, from equipment setup to site analysis to warm-up protocol, has to be engineered, not improvised.
That commitment extended to custom technology. For my record season and GWR attempt, I partnered with Recon Instruments to develop a custom heads-up display integrated into the helmet - real-time speed, run data, and performance metrics visible without breaking tuck position. Bringing HUD technology from military and aviation into downhill racing was a first in the sport, and a direct expression of the same systems-thinking applied in industrial work.
What I didn't fully understand at the time was that I was developing a methodology. A framework for operating in high-consequence environments that would become the foundation of how I approach industrial work: map the system, reduce the variables, prepare until the preparation disappears, then execute without hesitation.
The world record wasn't the most important thing. The approach that produced it was.
Fastest standing downhill skateboard speed at time of setting - a record since surpassed, and all the more meaningful for it. Records exist to be broken. What endures is the systematic approach that produced it: obsessive preparation, precise equipment engineering, and disciplined risk calibration. The mountain was the test environment. The methodology is the asset.
We're at an inflection point in heavy industry. An enormous wave of experienced operators is retiring, taking with them decades of system knowledge that was never captured. Simultaneously, the tools to capture, visualize, and transmit that knowledge - 3D scanning, digital twins, intelligent documentation systems - have become accessible at the facility level for the first time.
The organizations that bridge that gap - that build the systems to retain and transfer operational intelligence while empowering the next generation of workers - will operate safer, more efficiently, and with more resilience than those that don't. That's not a technology problem. It's a leadership and design problem.
That's the work I want to do.
Building systems that capture what experienced operators know before they walk out the door permanently - structured, searchable, and transferable.
Digital twins, LiDAR as-builts, and live process documentation that reflect the facility as it actually exists - not as it was designed five years ago.
Documentation, procedures, and systems designed around how workers actually think and move through a facility - not how an engineer imagines they should.
The belief that operational excellence and worker safety aren't in tension - that the same discipline that produces performance produces safety, when the systems are designed properly.
If what you've read here resonates - whether you have a specific role in mind or just want to explore what collaboration might look like - I'd genuinely like to hear from you.
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