akash-network/console
Jan 2025 – Jan 2025
1 Month active
Languages Used
SQLTypeScript
Technical Skills
API DevelopmentBackend DevelopmentData AnalyticsDatabase Management
0xnirmal
PROFILE
0xnirmal
Developed and delivered the GPU Utilization Analytics and Breakdown feature for the akash-network/console repository, focusing on enhancing backend analytics capabilities. The work involved designing new API endpoints and backend services using TypeScript and SQL, implementing advanced caching strategies to improve data reliability and query performance, and integrating GPU utilization metrics into the existing graph data service. By introducing a detailed breakdown route by vendor and model, the solution provided deeper visibility into GPU resource usage. This enabled more informed capacity planning and cost optimization decisions, demonstrating strong skills in API development, backend engineering, data analytics, and database management within a production environment.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
236
Activity Months1
Your Network
14 peopleShared Repositories
14
Work History
January 2025
1 Commits • 1 Features
Jan 1, 2025January 2025 monthly summary for akash-network/console focusing on GPU analytics features. Delivered the GPU Utilization Analytics and Breakdown feature, including new endpoints and services, enhanced caching for GPU data, a vendor/model breakdown route, and integration of GPU utilization into the graph data service to enable richer analytics. No major bugs fixed this month. Overall impact includes improved visibility into GPU resource usage, enabling data-driven capacity planning and cost optimization; demonstrated backend API design, caching strategies, and graph data integration.
1 Commits • 1 Features
Jan 1, 2025January 2025 monthly summary for akash-network/console focusing on GPU analytics features. Delivered the GPU Utilization Analytics and Breakdown feature, including new endpoints and services, enhanced caching for GPU data, a vendor/model breakdown route, and integration of GPU utilization into the graph data service to enable richer analytics. No major bugs fixed this month. Overall impact includes improved visibility into GPU resource usage, enabling data-driven capacity planning and cost optimization; demonstrated backend API design, caching strategies, and graph data integration.
January 2025
Activity
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Quality Metrics
Correctness90.0%
Maintainability80.0%
Architecture90.0%
Performance80.0%
AI Usage40.0%
Skills & Technologies
Programming Languages
SQLTypeScript
Technical Skills
API DevelopmentBackend DevelopmentData AnalyticsDatabase Management
Repositories Contributed To
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