Cloud-Edge Platforms • Industrial Automation • Logistics Systems
I design and lead cloud-edge platforms that continuously process hundreds of concurrently active camera streams fleet-wide across production logistics sites, with secure fleet operations and remote recovery built in. I set technical direction across software, infrastructure, ML, and operations from architecture review through production support.
Selected technical achievements across production systems, architecture, and applied AI.
Public-safe views into architecture, operating constraints, technical ownership, and outcomes.
Led architecture for a confidential production platform spanning continuous edge vision, secure cloud-edge communication, fleet management, deployment automation, and operator workflows across logistics facilities.
Cross-functional influence: aligned software, infrastructure, ML, and operations stakeholders through architecture, design, and production-readiness reviews.
A reusable architecture for edge inference, local state, event delivery, secure networking, fleet recovery, and cloud operations under imperfect field conditions.
Production systems for physical operations, designed around explicit state, degraded modes, recoverability, and clear ownership boundaries.
Fused GPS, IMU, computer vision, and operator events into durable geospatial and inventory models for real-time localization, yard analytics, and operational visibility.
02 / Design for failureChose distributed inference and local state so remote sites continue operating through imperfect connectivity, overloaded inference, and mixed hardware generations.
03 / Operate the fleetRemoved long-lived edge credentials with short-lived trust, then standardized desired-state reconciliation, telemetry, software rollout, and layered remote recovery across deployments.
Granted inventions covering container terminal control, asset identification, OCR, geospatial positioning, and inventory optimization.
A focused writing track for the engineering topics that make the work legible.
Field-oriented lessons on inference pipelines, hardware constraints, and practical observability.
Desired-state reconciliation, short-lived trust, layered recovery, and remote operations for field nodes.
Private connectivity, identity, peer lifecycle, and control-plane patterns for distributed sites.
End-to-end product work demonstrating technical range beyond the industrial platform domain.
Location-aware civics preparation with official-source data sync, authentication, and portable database workflows.
Browser-based optical simulation using WebAssembly and Web Workers for worker-isolated numerical modeling without server-side compute.