HabanaAI/vllm-fork
Sep 2025 – Sep 2025
1 Month active
Languages Used
PythonYAML
Technical Skills
Graph ExecutionHPU OptimizationModel Performance TuningMultimodal Models
Supreet Singh
PROFILE
Supreet Singh
Worked on the HabanaAI/vllm-fork repository to deliver HPU graph execution optimization and multimodal bucketing for the Gemma3 Vision model. Focused on improving throughput and accuracy by implementing bucket-based architecture in the vision tower, which reduced runtime overhead and minimized GC recompiles. Enhanced model output quality by cloning data from the multimodal projector and stabilized execution paths through consistent hashing of HPU graphs. Addressed execution issues for Gemma3 Vision inputs, ensuring reliable graph runs. The work leveraged Python and YAML, applying skills in graph execution, HPU optimization, and model performance tuning to advance multimodal model capabilities within the project.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
83
Activity Months1
Your Network
2317 peopleSame Organization
@intel.com2254
Work History
September 2025
1 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary for HabanaAI/vllm-fork focusing on feature delivery, bug fixes, and overall impact.
1 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary for HabanaAI/vllm-fork focusing on feature delivery, bug fixes, and overall impact.
September 2025
Activity
Loading activity data...
Quality Metrics
Correctness90.0%
Maintainability80.0%
Architecture80.0%
Performance90.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
PythonYAML
Technical Skills
Graph ExecutionHPU OptimizationModel Performance TuningMultimodal Models
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline