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Cloud/ML
React
Kubernetes
Cloud Platform Frontend for ML/Kubernetes
An innovative company building a Kubernetes-based machine learning platform needed experienced frontend engineering to create an intuitive interface for their complex cloud infrastructure product.
Client:ML Platform Provider
Duration:12 months
Team:Part-time senior engineer
Key Results
10x
User Adoption
50%
Less Support
3x
Faster Workflows
95%
User Satisfaction
The Challenge
What We Were Up Against
The client had a powerful ML backend but no user-friendly interface. Kubernetes and ML deployment were too complex for typical data scientists without DevOps expertise, and competing products had better UX.
Key Pain Points
- 1Kubernetes complexity barrier for data scientists
- 2Powerful backend but no user-friendly interface
- 3Built by backend engineers without frontend expertise
- 4Competing products had better UX despite inferior technology
- 5Startup couldn't justify full-time frontend team
The Solution
How We Solved It
We provided a part-time senior frontend engineer who built a comprehensive component library and intuitive dashboards that made sophisticated ML operations accessible to data scientists.
Our Approach
- 1Part-time engagement: 4 hours/day, 5 days/week
- 2Component library for consistency and reusability
- 3Rapid iteration with internal user feedback
- 4Close collaboration with backend engineers on API design
- 5User testing with real ML workflows
Key Features Built
- Real-time cluster status and resource utilization dashboards
- ML experiment management with hyperparameter tracking
- Step-by-step job creation wizards
- Visual auto-scaling configuration
- Centralized logging and monitoring
- Multi-tenancy with role-based access control
Technology Stack
R
React/TypeScript
Modern component-based frontend
R
Redux/MobX
State management for complex UI
D
D3.js/Recharts
Data visualization
W
WebSockets
Real-time updates across distributed system
"Finally can focus on ML instead of Kubernetes. Easiest ML platform I've used. Don't need DevOps team anymore for deployments."
Data Scientist
ML Platform User
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