Project

FarEye Track

20+ clients · $2M+

  • Kafka
  • Elasticsearch
  • Java
  • Machine learning

A real-time shipment visibility platform built on Kafka and Elasticsearch, with ML-predicted delivery dates and threshold alerts.

What it is

FarEye Track gives enterprise shippers live visibility of their shipments. I led its development and technical onboarding, and it grew from zero to 20+ enterprise clients and over $2M in revenue.

Pieces I built

  • An Estimated Delivery Date prediction model, built from scratch, with 95% accuracy in production.
  • A real-time alerting service in Java that consumes Kafka event streams and fires notifications on configurable threshold breaches. Clients use it to reduce theft and improve on-time delivery.

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