Built an AI-driven platform to optimize resource utilization and crop yields in commercial agriculture. Transformed a manual data processing workflow into an automated, scalable platform handling massive data uploads, visualization, and AI model deployment at scale.
Results
- Processing time for a 1,000-acre farm reduced from 3-6 weeks to under 30 minutes
- 95-97% reduction in processing time (2400% increase in throughput)
- Platform designed for rapid scalability with capacity additions achievable within minutes
Three major initiatives: data storage/processing platform, web-based customer interface, and scalable cloud infrastructure with access control for flexible data governance.
Confidential
Tech Stack
Python
Django
Vue.js
Kubernetes
Docker
Celery
deck.gl
AWS