ai-dynamo/aiperf
Oct 2025 – Dec 2025
3 Months active
Languages Used
MarkdownPythonYAMLBash
Technical Skills
API IntegrationAsynchronous ProgrammingAsyncioBackend DevelopmentData ProcessingData Visualization
ilana-n
PROFILE
Ilana-n
Over a three-month period, contributed to the ai-dynamo/aiperf repository by developing GPU telemetry systems, real-time dashboards, and advanced data visualization features. Leveraged Python, Dash, and Pandas to implement asynchronous data collection, customizable metrics export via CSV and JSONL, and interactive dashboards for profiling analysis. Enhanced system reliability through improved observability, CI/CD test stability, and deployment workflows, addressing startup and metrics availability issues. Updated documentation to support new Dynamo versions and streamlined user experience across CLI and frontend interfaces. The work enabled faster diagnostics, actionable performance insights, and extensible visualization tools, supporting data-driven optimization and cross-team communication in distributed environments.
Overall Statistics
Feature vs Bugs
75%Features
Repository Contributions
15Total
Bugs
2
Commits
15
Features
6
Lines of code
50,575
Activity Months3
Your Network
1840 peopleSame Organization
@nvidia.com1809
Work History
December 2025
1 Commits • 1 Features
Dec 1, 2025December 2025 monthly summary for ai-dynamo/aiperf: Delivered AIPerf Visualization and Interactive Dashboard feature, enabling plotting from profiling data with support for single-run and multi-run comparisons, customizable output options, and an interactive dashboard. This milestone accelerates data-driven optimization by turning profiling results into actionable visuals and enabling faster performance tuning and cross-team communication. No major bugs fixed this month; focus remained on delivering robust visualization UX and extensibility for future metrics.
1 Commits • 1 Features
Dec 1, 2025December 2025 monthly summary for ai-dynamo/aiperf: Delivered AIPerf Visualization and Interactive Dashboard feature, enabling plotting from profiling data with support for single-run and multi-run comparisons, customizable output options, and an interactive dashboard. This milestone accelerates data-driven optimization by turning profiling results into actionable visuals and enabling faster performance tuning and cross-team communication. No major bugs fixed this month; focus remained on delivering robust visualization UX and extensibility for future metrics.
December 2025
November 2025
7 Commits • 3 Features
Nov 1, 2025November 2025 focused on delivering GPU telemetry capabilities, improving test reliability, and tightening deployment/CLI UX for ai-dynamo/aiperf. Key outcomes include a new JSONL export workflow, CSV-driven metrics customization, and stability fixes that reduce CI flakiness and streamline deployments across Dynamo/frontend and CLI surfaces.
November 2025
7 Commits • 3 Features
Nov 1, 2025November 2025 focused on delivering GPU telemetry capabilities, improving test reliability, and tightening deployment/CLI UX for ai-dynamo/aiperf. Key outcomes include a new JSONL export workflow, CSV-driven metrics customization, and stability fixes that reduce CI flakiness and streamline deployments across Dynamo/frontend and CLI surfaces.
October 2025
7 Commits • 2 Features
Oct 1, 2025October 2025: Focused on observability and Dynamo 0.5.0 integration for ai-dynamo/aiperf. Delivered a GPU telemetry system with a real-time dashboard, updated documentation to reflect Dynamo 0.5.0, and introduced reliability fixes that improve startup stability and metrics availability. These workstreams provide faster diagnostics, better performance insight, and a smoother upgrade path for users.
7 Commits • 2 Features
Oct 1, 2025October 2025: Focused on observability and Dynamo 0.5.0 integration for ai-dynamo/aiperf. Delivered a GPU telemetry system with a real-time dashboard, updated documentation to reflect Dynamo 0.5.0, and introduced reliability fixes that improve startup stability and metrics availability. These workstreams provide faster diagnostics, better performance insight, and a smoother upgrade path for users.
October 2025
Activity
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Quality Metrics
Correctness91.4%
Maintainability86.8%
Architecture90.6%
Performance82.0%
AI Usage26.6%
Skills & Technologies
Programming Languages
BashMarkdownPythonYAML
Technical Skills
API IntegrationAsynchronous ProgrammingAsyncioBackend DevelopmentCI/CDCLI DevelopmentCSV handlingContainerizationDashData ProcessingData VisualizationDebuggingDependency ManagementDevOpsDistributed Systems
Repositories Contributed To
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