Senior Solutions Engineer with 5+ years leading enterprise product launches, AI implementations, and technical pilots for Signature accounts including Tesla, Walmart, and JB Hunt. Pursuing MSc in AI at Georgia Tech.
I work at the intersection of enterprise software and AI implementation.
Over the past 5+ years at Geotab, I’ve owned post-sales technical relationships with Signature enterprise accounts including Tesla, Walmart, and JB Hunt — managing a $50M ARR portfolio, leading product launches from discovery through deployment, and building the tooling and playbooks that make complex programs scale.
I’m especially interested in AI-native companies where the SE role means building the thing, not just demoing it — conversational AI, computer vision, applied ML at the enterprise level. I built a custom MCP server integrating Geotab’s APIs and demoed live AI analysis of unstructured operational data to enterprise customers. Recognized by the Geotab CEO for managing complex escalations and expanding strategic accounts.
Concepts and workflows for in-cab and road-facing cameras that use computer vision to detect risk, coach drivers, and surface the right events for safety teams.
Built a custom MCP server integrating Geotab's APIs to enable AI analysis of free-form DVIR text — surfacing fleet safety and maintenance signals from unstructured driver input. Demoed live to enterprise customers as a working AI pilot.
Computer vision for yards and terminals to detect trailer movement, unauthorized activity, and operational bottlenecks across high-volume fleet environments.
Lead SE on a $50M ARR Signature portfolio across enterprise and government accounts. Led the CARB Clean Truck Check compliance product launch from zero — GTM strategy, geofencing zones, harness identification queries, and an automated self-serve tracker deployed across 10,000 vehicles and 25 enterprise customers. Retained a $2M ARR at-risk account through a mutual uptime framework built with SRE and engineering. Recognized by the Geotab CEO for managing complex escalations and expanding strategic accounts.
Led the CARB CTC compliance launch from zero — discovery sessions, GTM strategy, geofencing zones, harness queries, and an automated compliance tracker deployed across 10,000 vehicles and 25 customers.
Built a custom MCP server integrating Geotab's APIs. Demoed live AI analysis of unstructured DVIR free-form text to enterprise customers — surfacing fleet safety and maintenance signals from driver input at scale.
Led cross-functional technical pilot with JB Hunt: on-site API audit eliminating ~1 billion API calls across 10+ integrations. Presented at Geotab's Customer Obsession Live. Supported 50+ technical RFPs across enterprise and government segments.
Video Ambassador for Geotab's GO Focus AI dashcam product line. Scope enterprise camera deployments — telematics, dash cams, CV/ADAS, and safety workflows — with depth in computer vision programs at scale.
Advised provincial ministries, municipalities, and transit agencies through fleet modernization, P3 procurement, and smart-mobility strategy. Built the case for multi-decade infrastructure decisions with a technical architecture layer most consultants couldn't provide.
Advised major Canadian transit agencies on digital transformation — asset management platforms, operations analytics, and connected-vehicle roadmaps.
Supported public-private partnership procurements: scoring vendor capability, sizing risk, and stress-testing technology assumptions on the technical evaluation side.
Built strategy and technical architecture for ministries planning multi-decade shifts toward connected, autonomous, and low-emission fleets.
Translated agency operational needs into vendor-ready requirements documentation, evaluation frameworks, and multi-year technology roadmaps.
My academic work directly informs the AI implementation work I do in the field — machine learning, AI systems, and data-driven applications applied to real enterprise problems.