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Project case study

DealerFlow

Vehicle monitoring and notification platform that aggregates inventory updates and alerts users to relevant deals.

Project facts

Theme

Operational Workflow Software

Current state

Beta Pilot

My role

Sole backend engineer and mobile developer

DealerFlow mobile feed showing newly published wholesale inventory.

Problem

Wholesale vehicle buyers and sellers lose time when fresh inventory, offer status, and lifecycle changes are spread across slow manual workflows.

Core constraint

State consistency: vehicle lifecycle transitions must keep buyer/seller state safe across concurrent offer and inventory workflows

Outcome

Beta pilot with working mobile workflows for buyer matching, seller inventory management, and real-time notification delivery

Approach

A concise problem → system → evidence structure so the engineering story is easier to inspect.

System design

Built as a production-lean mobile system with a NestJS API, BullMQ-backed worker processing, persisted notifications, and lifecycle-safe inventory transitions. Buyers get scored matches and alerts, while sellers manage inventory, offers, and inbound inquiries from a mobile workflow.

Worker pipeline computes match scores and notification fan-out.
Vehicle lifecycle rules keep buyer and seller state transitions safe.
Mobile-first flows make the software operational instead of dashboard-only.

Stack

NestJSBullMQPostgreSQLPrismaExpo React NativeRedis

Evidence

The strongest proof is the mobile workflow itself paired with the notification and inventory lifecycle model behind it.

Mobile screenshotNotification pipelineInventory lifecycle model

Related work

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My Role

Sole architect and full-stack engineer

Outcome

Working planning engine with rules-based role generation, income modeling, and explainability views across NAICS hierarchy

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