mirage-project/mirage
Apr 2026 – Apr 2026
1 Month active
Languages Used
C++Python
Technical Skills
C++ DevelopmentCUDADeep LearningMachine LearningPython Development
Arav Tewari
PROFILE
Arav Tewari
Worked on the mirage-project/mirage repository to deliver a kernel reuse optimization feature within the MPK framework, enabling the loading of pre-compiled kernels to reduce per-request recompilation latency. The approach involved implementing runtime tensor lookups in the code generation process and introducing hashing-based compatibility checks to ensure safe kernel reuse across sessions. Integration efforts included updating initialization flows, resolving merge conflicts, and maintaining code hygiene. Using C++, CUDA, and Python, the work focused on improving multi-tenant serving efficiency, enhancing resource utilization, and supporting scalability, with an emphasis on robust integration and maintainability rather than addressing customer-facing bugs.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
1,016
Activity Months1
Your Network
24 peopleShared Repositories
24
Work History
April 2026
1 Commits • 1 Features
Apr 1, 2026April 2026 (2026-04) monthly summary for mirage-project/mirage. Key feature delivered: Kernel Reuse Optimization in the MPK Framework, enabling loading of pre-compiled kernels to avoid per-request recompilation, reducing latency and increasing throughput in multi-tenant serving scenarios. Implemented runtime tensor lookups in codegen and hashing-based compatibility checks to ensure safe reuse. Also added a kernel reuse demonstration and performed end-to-end integration across the repository. Throughout the month, efforts included code hygiene and integration stability (merge conflict resolution, formatting updates, and .gitignore adjustments). No customer-facing bugs reported; focus was on delivering the feature with robustness and maintainability improvements.
1 Commits • 1 Features
Apr 1, 2026April 2026 (2026-04) monthly summary for mirage-project/mirage. Key feature delivered: Kernel Reuse Optimization in the MPK Framework, enabling loading of pre-compiled kernels to avoid per-request recompilation, reducing latency and increasing throughput in multi-tenant serving scenarios. Implemented runtime tensor lookups in codegen and hashing-based compatibility checks to ensure safe reuse. Also added a kernel reuse demonstration and performed end-to-end integration across the repository. Throughout the month, efforts included code hygiene and integration stability (merge conflict resolution, formatting updates, and .gitignore adjustments). No customer-facing bugs reported; focus was on delivering the feature with robustness and maintainability improvements.
April 2026
Activity
Loading activity data...
Quality Metrics
Correctness100.0%
Maintainability80.0%
Architecture100.0%
Performance100.0%
AI Usage80.0%
Skills & Technologies
Programming Languages
C++Python
Technical Skills
C++ DevelopmentCUDADeep LearningMachine LearningPython Development
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline