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Waste Management & Fleet Logistics Platform

2025
DASHBOARD
INSIGHTSCHANNELS
12 members

Technologies Used

  • •Backend: Django, Django REST Framework
  • •Background jobs: Celery + Redis
  • •Database: PostgreSQL

Contributions

  • •Built route optimisation APIs and set up real-time data pipelines.
  • •Designed scalable data models and configured Celery + Redis background processing for high volumes of logistics data and fleet telemetry.
  • •Built frontend components for large-scale data visualisation and logistics tracking dashboards.

Outcomes

  • •Cut API response times by over 60% in data-heavy reporting modules by optimising PostgreSQL queries.
Project Type: Logistics Platform
Client: Recursive Technologies (contract)
Duration: 2024 – 2025
Task: Software Developer