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Colin McGravey
Entry-level Full-Stack Developer specializing in logistics and AI-powered web applications
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Backend engineer who led the end-to-end modernization of FleetView into a scalable, event-driven system supporting 1,000+ users and 13,000+ assets, cutting API latency by ~40%. Also built an AI-powered exit interview analytics pipeline on Azure using GPT-4o with strong guardrails, validation, and evaluation practices, showing a rare mix of production backend rigor and applied LLM workflow experience.
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Key Strengths
- owned FleetView 2.0 backend modernization end-to-end
- re-architected a tightly coupled system into scalable service-oriented services
- reduced API latency by about 40%
- supported 1,000+ internal users and 13,000+ assets in near real-time
- improved scalability and stability through event-driven architecture
- implemented CI/CD to replace manual deployments
- strong tradeoff judgment across reliability, latency, scalability, and developer velocity
- designed resilient async ingestion using queues, workers, and Redis caching
- navigates ambiguous projects through stakeholder collaboration and iterative scoping
- hands-on incident ownership with rollback, root-cause diagnosis, and prevention measures
- practical AI workflow integration with guardrails, validation, and evaluation datasets
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