For 33 years I evolved with the grid. Now I'm building what comes next: the intelligence layer above it.
I started long before “smart grid” or “grid modernization” were terms. I know what's under the hood, because I ran the grid at every stage of the technology.
Thirty-three years, one through-line: I evolved with the technology and the operating practices, so I know exactly what each generation actually does under the hood, and what the next one has to get right.
Utility operator. Platform vendor & developer. Systems integrator. Consulting partner. AI solutions leader.
Most people in this industry see grid modernization from one angle. After 33+ years of deliberate moves, 22 years operating a utility control center, 6 years leading SME work at a major ADMS and DERMS platform vendor, 2+ years directing systems integration practices, Partner at a global consulting firm, and now NVIDIA Solutions Director at SoftServe building GridCORTEX, I see it from all five. That perspective is what I bring to every conversation.
Each transition was a deliberate step toward a capability the previous role couldn't teach. Here's what each one captured.
Real-time T&D control center. NERC Certified Reliability Coordinator. Built and ran the Blackstart restoration program from the ground up. Lived through every major operational technology evolution from manual SCADA to ADMS.
Lead Smart Grid SME. Set new sales records every year for six consecutive years. Led the SME team across 14+ utility ADMS deployments in North America and Australia. Fed operator-driven product enhancements directly into the engineering roadmap, including the first-of-its-kind ADMS+DERMS hybrid architecture at APS and the wildfire mitigation capability built into ADMS for PG&E. Pioneered the cloud-based virtual server environment that became the global default for ADMS demonstrations.
Director of a Smart Utilities Digital Grid practice, then Senior Principal of Grid Management Solutions consulting. Led major engagements across DER SCADA migration, OSI DERMS, GE OMS and DMS, ADMS upgrade strategy, AMI 2.0 integration, and operations change management.
Partner-level practice and platform leadership. Architected three signature offerings: GridVISION (flagship overlay platform), Suite 16 (16-domain modernization framework), and MC-LLI (mission-critical large-load infrastructure market category). Led executive advisory with National Grid and Avangrid.
NVIDIA Solutions Director for Power & Utilities at SoftServe. Architecting GridCORTEX, the AI-powered utility intelligence ecosystem for electric utilities, built on NVIDIA's accelerated computing infrastructure. six modules, ten agents, 23 operating domains and 187 utility-specific use cases, and the first utility AI ecosystem to extend into autonomous physical AI and robotics.
Rewriting integrated resource plans across North America. Every major IOU is rebuilding its load forecast around it.
Out of demos and into the control room, with all the operator-trust, audit, and human-in-the-loop questions that come with it.
Outpacing the operating models utilities currently have. The architecture problem is no longer optional.
NVIDIA Isaac ROS 2 and Jetson Orin have crossed the maturity threshold for utility infrastructure. Autonomous inspection, first-responder robotics, and edge AI are no longer research projects.
Half the utility workforce is retirement-eligible this decade. Forty years of operational knowledge walks out the door every Friday. The gap layer is the only place it can be captured.
I've spent 33+ years preparing for a moment exactly like this one. The full operator + vendor & developer + integrator + consultant + AI solutions perspective is what this moment needs.
The pattern is consistent: take a real operational problem, translate it into architecture, then build how the solution gets sold and delivered.
The AI-powered utility intelligence ecosystem, the intelligence layer above the grid. One ecosystem, six modules, ten agents, 23 operating domains, 187 use cases, and a utility research base covering 3,995 utilities across North America, Europe, the Middle East and Africa, Australia and New Zealand, and Latin America. Built on NVIDIA accelerated computing. The first utility AI ecosystem to extend into autonomous physical AI and robotics.
GridCORTEX is the current one. It sits on top of the same pattern I have been running for years: start with the operational problem, turn it into architecture, then build how it gets sold and delivered. The earlier ones are written up in full, with my role and attribution on each.
Across every major operational platform on the market, ADMS, DERMS, OMS, DMS, SCADA, EMS, GIS, AMI, and the major vendors that build them.
It's linked from my email signature so colleagues, partners, and clients can see the full picture beyond LinkedIn. The most reliable way to start a conversation is LinkedIn.
